Automated Systems

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Cambridge (CIE) IGCSE · Computer Science

Automated Systems

The big idea: a computer system can sense the world, think about what it senses, and then physically act on it — all without a human touching a single button.

SummaryEverything in this chapter, at a glance

An automated system collects data, makes decisions, and performs tasks — with no human involvement in the loop.
Every automated system needs exactly three components: a sensor, a microprocessor, and an actuator.
The sensor is the "eyes and ears" (input), the microprocessor is the "brain" (processing/decisions), and the actuator is the "hands" (output/physical action).
Automated systems have general advantages (cost savings long-term, safety, efficiency, consistency) and general disadvantages (expensive to set up, need heavy testing, security risks, inflexible, need maintenance, can cause job losses).
Different real-world sectors (industry, transport, agriculture, weather, gaming, lighting, science) have their own specific pros and cons worth knowing by name.
Exam answers usually want the full "loop": sensor collects → data converted to digital (ADC) → sent to microprocessor → compared to stored/threshold value → decision made → signal sent to actuator → actuator acts → loop repeats continuously.

What Is an Automated System?

Definition & the three components

An automated system is a computer system that collects information from its surroundings and then reacts to that information by performing tasks — all on its own, with no person deciding what to do in the moment. The human's involvement happens earlier, when the system is programmed with the rules it should follow. Once it's running, it just watches the world and reacts to it.

Every automated system, no matter how complicated it looks on the outside, is built from exactly three components working together in a loop:

Sensor — collects information about the environment (e.g. temperature, light, motion, pressure) and feeds it to the microprocessor as an input.
Microprocessor — the decision-maker. It takes the data from the sensor, processes it, and compares it against pre-programmed rules (thresholds/stored values) to decide what should happen next.
Actuator — takes the microprocessor's decision and turns it into a real, physical change in the world. This is the system's output.

Analogy — think of your own body: Your skin sensing heat is the sensor. Your brain deciding "that's too hot, pull away!" is the microprocessor. Your arm muscles actually pulling your hand back is the actuator. The whole reflex happens automatically — you don't consciously plan each step, you just react. That's exactly how an automated system behaves.

┌───────────┐ data ┌────────────────┐ signal ┌───────────┐ │ SENSOR │ ───────────────▶ │ MICROPROCESSOR │ ──────────────▶ │ ACTUATOR │ │ (input) │ (converted to │ (processes & │ (decision = │ (output) │ │ │ digital data) │ makes decision)│ instruction) │ │ └───────────┘ └────────────────┘ └───────────┘ ▲ │ └───────────────────── physical change happens ◀────────────────┘ (system keeps monitoring — the loop repeats)

General Advantages & Disadvantages

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The full sequence examiners want to see
The universal pros and cons list
Applying automation to real sectors

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Automated Systems

Automated Systems

Definition & the three components

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