Air Quality Monitoring & Prediciton

Secure Critical Infrastructure


Importance of Air Quality

Critical infrastructure systems play a fundamental role in ensuring the nation’s economy, security, and health, hence their protection is paramount. Incorporating models like real-time monitoring, HAVAC, BREEZE, MORTAL, and scenario-based validation into a digital twin concept can significantly enhance their safety and effectiveness.

  1. Real-Time Infrastructure Monitoring: For instance, take a power grid, a critical piece of infrastructure. Real-time monitoring provides continuous oversight, detecting anomalies like power surges or failures in an instant. In the context of a digital twin, these real-time data can be mirrored onto the virtual model to monitor its operational health, predict possible failures, and provide proactive solutions.
  1. HAVAC for Indoor Air Quality Management: In a nuclear power plant scenario, maintaining optimal air quality is critical. HAVAC can model and control the flow of airborne contaminants, and when this system is integrated into the digital twin of the plant, it can simulate various leak scenarios. These simulations provide valuable insights to optimise ventilation systems and develop effective emergency response plans.
  2. BREEZE and CBRN / TICs Crisis Management: Considering an urban subway system as critical infrastructure, potential terrorist attacks using CBRN agents could be catastrophic. The BREEZE tool, when integrated with the digital twin of the subway, can simulate the dispersion of these agents in a variety of scenarios, facilitating rapid response planning to minimize harm.
  3. Toxicological Assessment with MORTAL: In the context of chemical factories or waste treatment plants, MORTAL could predict the severity and impact of potential chemical leaks. Integrating MORTAL into the digital twin can allow operators to simulate various leak scenarios and understand their effects on the infrastructure and the surrounding environment. This can greatly assist in formulating safety protocols and immediate response plans.
  4. Scenario-Based Design and Validation: For a high-risk environment such as an airport, scenario-based design and validation tools can simulate a plethora of threats like terrorist activities, natural disasters, or pandemics. When integrated into a digital twin, these simulations can help develop comprehensive and effective response strategies, without causing any disruption in actual operations.

By integrating these models into a digital twin framework, the ability to predict, respond to, and prevent various threats can be significantly enhanced. A digital twin serves as a safe testing ground that replicates the exact physical conditions and behaviours of real-world infrastructure. The incorporation of real-time monitoring, predictive analytics, and scenario-based validation within this digital environment allows for robust, accurate, and effective safety planning, leading to optimised operational efficiency in critical infrastructure systems.


What are Digital Twins

At its core, a digital twin is built using four main components:

  1. Physical products in a real space: The actual object that the digital twin will represent.
  2. Virtual products in a virtual space: The digital representation of the physical object.
  3. Data that links the physical and virtual products: This data provides real-time tracking and updates to the virtual model based on changes in the physical model.
  4. Actions taken in real space: Action or reaction is taken through (semi) automated process in the physical space due to updates in the virtual space. 

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