The solution is focused on sustainable implementation of a smart city model. The solution is centred around orchestrating sustainable solutions for smart cities. We discuss sustainable solutions for the smart city based on the Node-RED tool. The solution can be extended to a business model by extending the devised model to a real time scenario. The proposed idea can be further elaborated to a business model for developing smart cities.
Target Problem : Theme 5: Case Studies for Ecosystems Restoration & Multi-Hazard Resilience Problem Definition : Modelling different disaster [natural hazards] scenarios using Node-RED tool in a smart city. The implementation is focused on explaining resilience metrics for the smart city via mathematical modelling. The modelling is focused for the network topology and the communication layer of the smart city. Based on the results of the simulations obtained, we plan on modelling detailed case studies for disaster mitigation.
In the field of IoT, smart city topology is an active field of research. Modelling resilience metrics for the communication and network topology for smart cities can be a contribution for the field. Furthermore, proposed case studies can provide a real-time simulation for disaster mitigation. This can be useful for prevention of escalation of the problems that might be caused due to disasters.
Current literature fails to include the unprivileged sections of the society. We plan on providing metrics to mitigate disaster while keeping in mind such sections of the society.
[1] Tonmoy FN, Hasan S and Tomlinson R (2020) Increasing Coastal Disaster Resilience Using Smart City Frameworks: Current State, Challenges, and Opportunities. Front. Water 2:3. doi: 10.3389/frwa.2020.00003 [2] Nurwatik and J H Hong 2019 IOP Conf. Ser.: Earth Environ. Sci. 389 012043 [3] Ai, F., Comfort, L. K., Dong, Y., and Znati, T. (2016). A dynamic decision support system based on geographical information and mobile social networks: a model for tsunami risk mitigation in Padang, Indonesia. Safety Sci. 90, 62–74. doi: 10.1016/j.ssci.2015.09.022
The solution is supposed to devise sustainable solutions for a smart city implementation. The implications are bound to have all-inclusive sustainable results for the society. We plan on modelling different scenarios of disaster mitigation using Node-RED. These include but are not limited to mitigation of natural disasters [floods, fires]. These solutions can be useful to reduce the impact of such disasters on human life and capital. As a part of our case study, we also plan on targeting the impact of hazards on the unprivileged sections of the society. We discuss how such sections of the society can be supported and provided relief support.
In the case of any disasters, the unprivileged section is the most vulnerable to maximum damage. Reducing the damage caused to those sections using IoT solutions has been the major research goal for our work.
We plan on implementing a smart city topology using Azure twin and Azure IoT central. For analysing different scenarios of disaster management, we are planning to implement a city topology using Node-RED. We discuss the communication protocols using blockchain and antenna based solutions. We further model low latency solution for the network topology of the smart city.
https://docs.google.com/spreadsheets/d/1wcX7F8fCkLKgxSVLVQAdAk5T1NwYwp8GgqrOPpI417s/edit?usp=sharing
The solution is focused on sustainable implementation of a smart city model. The solution is centred around orchestrating sustainable solutions for smart cities. We discuss sustainable solutions for the smart city based on the Node-RED tool. The solution can be extended to a business model by extending the devised model to a real time scenario. The proposed idea can be further elaborated to a business model for developing smart cities.
Built With
- azure-iot-central
- node-red
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