Please enable JavaScript.
Coggle requires JavaScript to display documents.
Environmental Impact of Intelligent Systems - Coggle Diagram
Environmental Impact of Intelligent Systems
A machine with the capacity to gather and analyze date, then communicate with other systems - can also learn from experience and adapt to changing circumstances
Traffic Control
Problems
Vehicles are one of the main sources in greenhouse gas emissions
25% of all carbon dioxide emissions come from transport
Best speed for low fuel consumption is 45-65 MPH, with fewer periods of acceleration / breaking
Solutions
Intelligent transport systems aim to improve efficiency and safety of the traffic under their control
Systems controlling transport networks use cameras / sensors to find places with congestion or possible congestion, then alter traffic control signals (such as traffic lights) to keep traffic moving - thereby decreasing emissions.
Systems controlling one car use data from satellites to avoid congestion and keep moving, reducing emissions.
Car Management Systems
Car Management Systems work to reduce the impact a specific car has on the environment:
Engine Control
These systems use sensors to more accurately measure the engine's air/fuel ratio, and then adjust it to decrease fuel consumption and reduce carbon dioxide emissions.
Stop-Start systems
These systems automatically shut off the engine after a set period of inactivity, then re-starts when the accelerator is pressed - this reduces fuel consumption and emissions by cutting down on the time the engine spends idling
Heating Systems
Heating Systems control the heat in bulidings through several methods:
Unusual activity can be detected and the tempreture can be automatically adjusted accordingly
They can learn the tempreture that each room is preferred at, and at what times
An app on a phone can control wifi-connected thermostats, and can turn the heating off or on remotely