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"Smart City Integration: A Holistic Solution for Sustainable Urban Infrastructure Management"
Team info
Built Environment
High Tech Systems & Materials
Digital & Internet
We are looking for new team members


We are looking for new team members with the following skills

- Building Information Management(BIM) - Machine Learning and Deep Learning - System Identification - Digital Twin - Sensor data analysis - Health Monitoring - Communicative

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"Smart City Integration: A Holistic Solution for Sustainable Urban Infrastructure Management"


Our mission is to revolutionize urban infrastructure management through innovative technology, fostering sustainability and resilience in cities worldwide.


Lack of Comprehensive Monitoring: Many cities lack a centralized system for monitoring the health and performance of their infrastructure throughout its entire lifecycle, leading to inefficiencies in maintenance and potential safety hazards. Limited Predictive Capabilities: Without real-time data analysis and predictive capabilities, city planners often react to issues rather than proactively addressing them, resulting in higher costs and increased risks. Fragmented Data Management: Data on urban infrastructure health is often fragmented across various departments and systems, hindering effective decision-making and resource allocation. Sustainability Challenges: As cities aim to meet sustainability goals, there is a growing need for tools and solutions that facilitate the development of resilient and environmentally friendly infrastructure.


Overview: We propose to establish a centralized data center integrating city structures to monitor their entire lifecycle. Utilizing machine learning algorithms alongside Building Information Modeling (BIM) models and sensor technology, our solution aims to detect structural issues such as cracks in infrastructure (highways, bridges, tunnels) and buildings in real-time. This comprehensive monitoring system will pave the way for creating a digital twin model of the city, facilitating urban development planning aligned with United Nations sustainability goals. Solution Components: Centralized Data Center: Implementing a centralized data center to aggregate data from various city structures, including infrastructure and buildings, for holistic monitoring. Machine Learning Algorithms: Employing advanced machine learning algorithms to analyze data collected from BIM models and sensors. These algorithms will enable early detection of structural issues, ensuring timely maintenance and intervention. BIM Models and Sensors: Integrating BIM models and strategically placed sensors across city structures to provide real-time insights into their health and performance. Digital Twin Model: Developing a digital twin model of the city by merging real-time data with BIM models. This virtual representation will mirror the physical city, enabling predictive analysis and informed decision-making for urban development planning. Benefits: Proactive Maintenance: Early detection of structural issues allows for proactive maintenance, minimizing the risk of costly damages and ensuring public safety. Data-Driven Decision Making: Real-time data analysis and the creation of a digital twin model empower city planners and stakeholders to make data-driven decisions for sustainable urban development. Optimized Resource Allocation: By identifying areas in need of attention, resources can be allocated efficiently, optimizing budget utilization and reducing environmental impact. Alignment with Sustainability Goals: Contributing to United Nations sustainability goals by promoting sustainable infrastructure development and resilient cities. Target Audience: City Governments and Municipalities: Providing city governments and municipalities with a comprehensive solution for managing urban infrastructure and fostering sustainable development. Urban Planners and Architects: Offering urban planners and architects valuable insights and tools for designing resilient and sustainable cities. Infrastructure Development Agencies: Assisting infrastructure development agencies in ensuring the longevity and safety of critical city structures. Conclusion: Our proposed solution for urban infrastructure monitoring and management holds immense potential for revolutionizing how cities approach sustainability and resilience. By harnessing the power of data, machine learning, and digital modeling, we aim to create smarter, safer, and more sustainable cities for future generations.

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