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Data Logging 02
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Data Logging 02

Data logging tracks changes automatically using sensors and timed readings. See how it helps monitor weather, exercise, experiments, and smart homes, then interpret the results.

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Fascinating Fact:

Data logging is used in science experiments, weather stations, fitness trackers, and smart homes to monitor conditions.

In KS3 ICT, data logging means using sensors and a computer or data logger to collect readings over time. You can choose how often data is recorded, then store it and analyse it using tables, graphs, and patterns.

  • Dataset: A collection of recorded values, such as a list of temperatures measured every minute.
  • Trend: A general direction shown by data over time, like a steady rise or a repeating cycle.
  • Real-time monitoring: Watching data as it is collected, so you can react immediately if something changes.
What is data logging used for?

Data logging is used to record measurements over time, such as temperature, light, sound, or movement, so people can spot patterns and make decisions using the results.

How does a data logger work in ICT?

A data logger collects signals from sensors, converts them into digital data, and saves the readings with times or intervals. The data can then be displayed as charts or analysed on a computer.

What is the difference between real-time monitoring and data logging?

Real-time monitoring shows readings as they happen, which is useful for quick action. Data logging stores readings over a period so you can analyse changes and compare results later.

1 .
Data logging takes place over a length of time called a .......
logging interval
logging period
logging slot
time slot
A data logger has a built-in timer
2 .
The logging period should be ....... to collect enough data.
a time determined by what is being monitored
no more than five seconds
very long to collect all possible data
very short to get as much data as possible
The time period has to be appropriate for the situation
3 .
The time gap between measurements is called the .......
data period
logging interval
measurement period
time interval
Also called the sampling interval
4 .
The logging interval of a clinical thermometer might be .......
one day
one hour
one month
one year
It depends upon what is sensible in the circumstances, but checking a person's temperature every hour should be good enough to check if they are getting better or worse
5 .
The logging interval of a car braking system might be .......
0.01 seconds
1 second
1 minute
10 minutes
Car brakes are usually applied for just a few seconds
6 .
Data logging is useful in locations .......
where it is extremely cold
on the sea floor
in a desert
All of the above
In other words, where it is difficult for people to work or live
7 .
Data logging is useful because .......
it can take place without people being present
it is reliable and does not break down
it requires a means of storing data
it uses sensors to measure the environment
Automatic data loggers mean people can do other jobs while the data is being collected
8 .
Automatic data loggers are more accurate than people .......
when recording data where the logging interval is short
when recording data where the logging interval is long
when the logging period is very long
None of these
When the logging interval is less than a few seconds, it can be quite hard or even impossible for people to record data accurately
9 .
Which is not an advantage of data logging?
Data can be collected at very short intervals
Data can be collected over very long time periods
Data is recorded accurately
Data loggers must always be connected to a computer
Data loggers only need to be connected to a computer when someone wants to process the data
10 .
Which is the best description of data logging?
Collection and storing of bytes
Collection and storing of data
Collection and storing of information
Collection and storing of logs
A data logger does not usually process the data, that is normally done by software on a computer
You can find more about this topic by visiting BBC Bitesize - Data and databases

Author:  Duncan Daish

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