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Semi-Automatic Ground Environment

Semi-Automatic Ground Environment is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Semi-Automatic Ground Environment rather than just read about it. In short: The Semi-Automated Ground Environment (SAGE) was a system of large computers and associated networking equipment that coordinated data from many radar sites and processed it to produce a single unified image of the airspace over a wide area. SAGE directed and controlled the NORAD response to a possible Soviet air attack, operating in this role from the late 1950s into the 1980s.

Semi-Automatic Ground Environment — main illustration
Semi-Automatic Ground Environment — illustration

Key takeaways

  • Semi-Automatic Ground Environment belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Semi-Automatic Ground Environment to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Semi-Automatic Ground Environment from memory before moving on to harder problems.

Reference excerpt

The Semi-Automated Ground Environment (SAGE) was a system of large computers and associated networking equipment that coordinated data from many radar sites and processed it to produce a single unified image of the airspace over a wide area. SAGE directed and controlled the NORAD response to a possible Soviet air attack, operating in this role from the late 1950s into the 1980s. The processing power behind SAGE was supplied by the largest discrete component-based computer ever built, the AN/FSQ-7, manufactured by IBM. Each SAGE Direction Center (DC) housed an FSQ-7 which occupied an entire floor, approximately 22,000 square feet (2,000 m2) not including supporting equipment. The FSQ-7 was actually two computers, "A" side and "B" side. Computer processing was switched from "A" side to "B" side on a regular basis, allowing maintenance on the unused side. Information was fed to the DCs from a network of radar stations as well as readiness information from various defense sites. The computers, based on the raw radar data, developed "tracks" for the reported targets, and automatically calculated which defenses were within range. Operators used light guns to select targets on-screen for further information, select one of the available defenses, and issue commands to attack. These commands would then be automatically sent to the defense site via teleprinter. Connecting the various sites was an enormous network of telephones, modems and teleprinters. Later additions to the system allowed SAGE's tracking data to be sent directly to CIM-10 Bomarc missiles and some of the US Air Force's interceptor aircraft in-flight, directly updating their autopilots to maintain an intercept course without operator intervention. Each DC also forwarded data to a Combat Center (CC) for "supervision of the several sectors within the division" ("each combat center [had] the capability to coordinate defense for the whole nation"). SAGE became operational in the late 1950s and early 1960s at an estimated total cost between 8 and 12 billion dollars, four times the cost of the Manhattan Project. Throughout its development, there were continual concerns about its real ability to deal with large attacks, and the Operation Sky Shield tests showed that only about one-fourth of enemy bombers would have been intercepted. Nevertheless, SAGE was the backbone of NORAD's air defense system into the 1980s, by which time the tube-based FSQ-7s were increasingly costly to maintain and completely outdated. Today the same command and control task is carried out by microcomputers, based on the same basic underlying data.

Background

Earlier systems

Just prior to World War II, Royal Air Force (RAF) tests with the new Chain Home (CH) radars had demonstrated that relaying information to the fighter aircraft directly from the radar sites was not feasible. The radars determined the map coordinates of the enemy, but could generally not see the fighters at the same time. This meant the fighters had to be able to determine where to fly to perform an interception but were often unaware of their own exact location and unable to calculate an interception while also flying their aircraft.

The solution was to send all of the radar information to a central control station where operators collated the reports into single tracks, and then reported these tracks to the airbases, or sectors. The sectors used additional systems to track their own aircraft, plotting both on a single large map. Operators viewing the map could then see what direction their fighters would have to fly to approach their targets and relay that simply by telling them to fly along a certain heading or vector. This Dowding system was the first ground-controlled interception (GCI) system of large scale, covering the entirety of the UK. It proved enormously successful during the Battle of Britain, and is credited as being a key part of the RAF's success. The system was slow, often providing information that was up to five minutes out of date. Against propeller driven bombers flying at perhaps 225 miles per hour (362 km/h) this was not a serious concern, but it was clear the system would be of little use against jet-powered bombers flying at perhaps 600 miles per hour (970 km/h). The system was extremely expensive in manpower terms, requiring hundreds of telephone operators, plotters and trackers in addition to the radar operators. This was a serious drain on manpower, making it difficult to expand the network. The idea of using a computer to handle the task of taking reports and developing tracks had been explored beginning late in the war. By 1944, analog computers had been installed at the CH stations to automatically convert radar readings into map locations, eliminating two people. Meanwhile, the Royal Navy began experimenting with the Comprehensive Display System (CDS), another analog computer that took X and Y locations from a map and automatically generated tracks from repeated inputs. Similar systems began development with the Royal Canadian Navy, DATAR, and the US Navy, the Naval Tactical Data System (NTDS). A similar system was also specified for the Nike SAM project, specifically referring to a US version of CDS, coordinating the defense over a battle area so that multiple batteries did not fire on a single target. All of these systems were relatively small in geographic scale, generally tracking within a city-sized area.

Valley Committee

… excerpt ends here. Continue reading the full article.

Illustrations

Semi-Automatic Ground Environment: SAGE radar stations were grouped by Air Defense Sectors (Air Divisions after 1966).  The SAGE System networked the radar stations in over 20 of the sectors using AN/FSQ-7 centrals in Direction Center.
SAGE radar stations were grouped by Air Defense Sectors (Air Divisions after 1966). The SAGE System networked the radar stations in over 20 of the sectors using AN/FSQ-7 centrals in Direction Center.
Semi-Automatic Ground Environment: Whirlwind computer elements: core memory (left) and operator console
Whirlwind computer elements: core memory (left) and operator console
Semi-Automatic Ground Environment: Module from a SAGE
Module from a SAGE
Semi-Automatic Ground Environment: The RCA #6499 Radechon tube was used for random-access memory in the computers.
The RCA #6499 Radechon tube was used for random-access memory in the computers.
Semi-Automatic Ground Environment: To increase warning time, radar systems called Texas Towers were placed in the Atlantic Ocean using technology similar to Texas-style offshore oil platforms
To increase warning time, radar systems called Texas Towers were placed in the Atlantic Ocean using technology similar to Texas-style offshore oil platforms

Worked examples

Example 1 — a first encounter with Semi-Automatic Ground Environment

Start with the simplest possible case. Write down what Semi-Automatic Ground Environment claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Semi-Automatic Ground Environment before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Semi-Automatic Ground Environment ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Semi-Automatic Ground Environment

In research
Semi-Automatic Ground Environment appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Semi-Automatic Ground Environment in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Semi-Automatic Ground Environment is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1950s computers, 1950s in technology, 1950s in the United States, so understanding it makes those chapters shorter.
In everyday life
Look for Semi-Automatic Ground Environment outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Semi-Automatic Ground Environment in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Semi-Automatic Ground Environment means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Semi-Automatic Ground Environment out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Semi-Automatic Ground Environment in simple terms?

The Semi-Automated Ground Environment (SAGE) was a system of large computers and associated networking equipment that coordinated data from many radar sites and processed it to produce a single unified image of the airspace over a wide area. SAGE directed and controlled the NORAD response to a poss…

Why does Semi-Automatic Ground Environment matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Semi-Automatic Ground Environment?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Semi-Automatic Ground Environment.

Tags

  • 1950s computers
  • 1950s in technology
  • 1950s in the United States
  • Computer-related introductions in 1958
  • Computer networks
  • Computer systems of the United States Air Force
  • North American Aerospace Defense Command
  • Vacuum tube computers

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