Challenge Title
Optimization Planning for 15-Minute Livable Living Circles Based on Spatiotemporal Big Data
Challenge Description：The 15-minute living circle is a core public-benefit initiative designed to improve convenient access to services and strengthen the urban public service system. Participants are required to use multi-source spatiotemporal data related to public services and residents’ daily lives, including urban road networks, the distribution of residential communities, population heat maps, education, healthcare, supermarkets, fresh-food markets, sports and recreation, and elderly-care services. In combination with space-air-ground integrated sensing technologies, the 15-minute walking-accessible area shall be used as the basic unit for intelligent analysis of the coverage, accessibility, and spatial balance of supporting facilities within urban districts. Participants shall accurately identify underserved areas characterized by missing facilities, uneven layouts, or service gaps; take account of local population structures and residential needs; and propose scientifically sound and implementable measures for adding facilities, optimizing layouts, and upgrading functions. The ultimate objective is to establish a convenient, equitable, and comprehensively accessible 15-minute community service system.
Core Requirements：
1. Data Integration: Effectively integrate multi-source spatiotemporal public-service and livelihood data, road-network data, and population-distribution data, and complete data cleaning and spatial matching.
2. Intelligent Analysis: Develop accessibility and coverage assessment models for 15-minute living circles and accurately identify areas with deficiencies in public services.
3. Implementation of the Solution: Propose concrete and implementable plans for optimization and renovation, facility layout, and service upgrading in response to the identified deficiencies.
4. Value Creation: Align the solution with residents’ everyday needs and effectively improve the equity and convenience of urban public services.
5. Technology Integration: Develop an innovative design by integrating space-air-ground information technologies such as GIS spatial analysis, remote-sensing assessment, and big-data statistics.
Submission Requirements：
1. A solution document in PDF format (approximately 5,000 Chinese characters), covering an analysis of current conditions in the selected scenario, the data framework, the technical solution, findings on service deficiencies, optimization strategies, and implementation value.
2. A results-demonstration video of no more than eight minutes, or a PowerPoint presentation, clearly presenting the data-analysis process, visualized findings on service deficiencies, and the outcomes of the proposed optimization plan.
3. Optional materials: maps or diagrams presenting spatial-analysis results and an implementation plan.
Challenge Title
Digital Solutions for Enhancing Smart City Resilience
Challenge Description：Building resilient cities is a central means of strengthening urban disaster prevention and relief capabilities, ensuring safe and stable city operations, and enhancing resilience for sustainable urban development. It encompasses key scenarios such as the management of urban disaster hazards, resilience upgrades for infrastructure, enhancement of emergency-response capabilities, and restoration of ecological resilience. Participants shall use real-scene 3D modeling, time-series remote-sensing monitoring, spatiotemporal big-data analysis, and digital-twin technologies to focus on priority areas for resilience enhancement, including disaster-prone urban districts, aging infrastructure, and ecologically vulnerable areas. They shall conduct hazard screening, risk assessment, resilience-potential analysis, and intelligent simulation of emergency-response plans, thereby developing an end-to-end digital solution for resilient-city development. The solution should address the shortcomings of conventional approaches, including inaccurate hazard screening, unscientific risk assessment, inefficient emergency response, and the absence of data support for operation and maintenance, and should enable more refined, digital, and intelligent resilient-city development.
Core Requirements：
1. Scenario Focus: Center the work on real resilient-city development scenarios, including urban disaster-hazard management, infrastructure resilience upgrades, ecological-resilience restoration, and emergency-response support.
2. Technological Innovation: Integrate core space-air-ground technologies such as real-scene 3D modeling, time-series remote-sensing comparison, and digital-twin simulation to improve the digitalization and intelligence of resilient-city development.
3. Problem Orientation: Accurately identify resilience deficiencies, safety hazards, and functional defects in urban disaster prevention and control, infrastructure operations, the ecological environment, and emergency support.
4. Solution Feasibility: Develop scientifically sound digital plans for resilience enhancement, hazard mitigation, and facility upgrading that are suitable for practical implementation.
5. Implementation Value: Balance urban safety, residents’ sense of security, ecological-environment improvement, and the sustainable enhancement of urban resilience.
Submission Requirements：
1. A solution document in PDF format (approximately 5,000 Chinese characters), including an assessment of current regional resilience, the technical architecture, a digital resilience-enhancement solution, an implementation pathway, and an analysis of social benefits.
2. A demonstration video of no more than eight minutes, or a PowerPoint presentation, showing the 3D scenario, resilience-enhancement simulation, system functions, and application outcomes.
3. Optional materials: a real-scene 3D model of the selected area, before-and-after visualizations of resilience enhancement, and a prototype demonstration system.
Challenge Title
Intelligent Monitoring and Early-Warning Applications for Urban Lifeline Safety through Space-Air-Ground Integration
Challenge Description：Urban lifelines—including water supply, drainage, gas, district heating, bridges, utility networks, roads, and fire protection—are the foundation of safe city operations. Participants shall integrate satellite remote sensing, UAV inspection, spatiotemporal positioning, AI-based intelligent recognition, and IoT sensing technologies to develop an integrated application solution for urban-lifeline safety monitoring, risk assessment, intelligent early warning, and emergency response through space-air-ground integration. For high-frequency risk scenarios such as damaged pipelines, road collapse, bridge hazards, waterlogging and urban flooding, gas safety incidents, and fire hazards, the solution shall enable automatic hazard identification, precise risk location, real-time situation monitoring, and advance warning of dangerous conditions. The objective is to establish an all-weather, comprehensive urban-lifeline safety-protection system and reinforce the baseline of urban safety.
Core Requirements：
1. Comprehensive Sensing: Integrate multi-source monitoring methods across space, air, and ground to enable comprehensive and dynamic monitoring of urban-lifeline facilities.
2. Intelligent Assessment: Develop risk-assessment models based on AI and spatiotemporal big data to support graded and categorized early warning of hazards.
3. Closed-Loop Management: Provide an end-to-end closed-loop solution covering hazard discovery, location, early warning, response, and post-event review.
4. Scenario Relevance: Focus on real safety challenges affecting urban lifelines and demonstrate strong practicality and implementation potential.
5. Advanced Technology: Demonstrate deep and innovative integration between space-air-ground information technologies and urban-safety application scenarios.
Submission Requirements：
1. A solution document in PDF format (approximately 5,000 Chinese characters), including an analysis of risk scenarios, the technical system, the monitoring and early-warning solution, emergency-response procedures, and application value.
2. A demonstration video of no more than eight minutes, or a PowerPoint presentation, showing system functions, monitoring and early-warning outcomes, and the emergency-dispatch process.
3. Optional materials: a prototype risk-monitoring system, a hazard-data analysis report, and scenario-simulation demonstration files.
Challenge Title
Innovative Applications for Citywide Refined Smart Governance Based on Spaceborne and Airborne Technologies
Challenge Description：To address the shortcomings of conventional urban governance—including extensive rather than refined management, inefficient inspections, delayed problem detection, numerous regulatory blind spots, and disorganized records—participants shall use remote-sensing monitoring, high-precision BeiDou positioning, AI-based visual recognition, and spatiotemporal big-data technologies. The work shall target grassroots urban-governance scenarios such as the urban environment and appearance, control of unauthorized construction, construction-site supervision, waste sorting, unauthorized occupation of roads for business activities, dust control, operation and maintenance of municipal facilities, and charging-facility management. Participants shall develop intelligent, refined, and digital governance solutions and systems that support the full process of automatic problem detection, precise location, intelligent task assignment, closed-loop handling, data statistics, and effectiveness analysis. The objective is to facilitate the transition of urban governance from an extensive model to one that is refined, intelligent, and routine.
Core Requirements：
1. Precise Identification of Pain Points: Focus on high-frequency, difficult, and persistent problems in grassroots urban governance.
2. Technology Integration: Deeply integrate core technologies including spaceborne and airborne remote sensing, high-precision positioning, and AI-based intelligent recognition.
3. Closed-Loop Process: Establish a full-chain smart-governance system covering discovery, location, handling, supervision, and review.
4. Efficient Empowerment: Effectively reduce the cost of labor-intensive governance while improving the precision and efficiency of urban governance.
5. Innovation and Practicality: Ensure that the solution is replicable and scalable and can be adapted to grassroots urban-governance scenarios across China.
Submission Requirements：
1. A solution document in PDF format (approximately 5,000 Chinese characters), including an analysis of governance pain points, the technical architecture, functional design, a practical implementation plan, and a benefit analysis.
2. A demonstration video of no more than eight minutes, or a PowerPoint presentation, clearly showing core functions such as intelligent recognition, location and early warning, and closed-loop governance.
3. Optional materials: a prototype smart-governance platform, a statistical analysis report on governance data, and practical implementation cases.