Data loggers are cost-effective devices used for prolonged data recording in various applications such as tunnel monitoring, structural health assessment, and environmental monitoring. They offer versatility in data collection without requiring a constant computer connection, making them suitable for situations that demand portability. The document outlines different types of data loggers based on their recorded signals and highlights their essential traits and advantages over traditional data collection systems.

1. Reasons For Using Data Logger
- September 13, 2023

2. Introduction:
When the application does not require high-speed recording but
does require prolonged recording times, the data logger is chosen

3. instead of a data collecting system. Compared to DAQ systems,
they are less expensive.
The “workhorse” of recording devices is the Data Logger. They
are capable of storing data for periods of days, weeks, or even
years. Data logging is the term used frequently to describe this
process. This content will help you understand about data logger
What is a Data Logger?
A Data Logger, also called a datalogger or data recorder, is a
tiny, reasonably priced electronic device that uses an internal or
external sensor to continuously monitor and record data, such as
voltage, temperature, and current. Typically, it is powered by a
digital processor.
Purpose of data logger:
● In order to assess the tunnel’s behaviour over time and
determine any noticeable changes to the fault zones,

4. walled sections, inflow, etc., as well as any rheological
properties of the rock mass, comprehensive tunnel
monitoring is required for the tunnel’s long-term safety.
The inside lining of the tunnels is installed with a
number of devices, including tilt meters, strain gauges,
extensometers, etc., to monitor any deformities. The
data from these sensors is continuously logged and kept
in the internal memory of a data logger.
● Buildings’ performance over time and the impact of
surrounding excavation or construction are monitored
for their structural health. In the event of an emergency,
data loggers generate a prompt warning so the user can
take precautionary action.
● The prevention of accidents and the development of
early warnings due to the monitoring of landslides.
● Monitoring groundwater and managing rainfall is
necessary to prevent the depletion of the most vital
freshwater resource and provide an equitable
distribution of the resource to all.
● Keeping an eye on how the ground and its surroundings
change while deep excavations take place. Ground
movement caused by excavation in soft ground poses a
threat to surrounding sensitive structures in the zone of
influence. Therefore, monitoring of foundation cracks

5. and assessing the risk of extensive excavation are
essential at all levels.
● Monitoring bridge defects to produce early warning in
the event of an emergency
● Dams and nuclear power plants are being watched
unattended to prevent fatal mishaps. Data loggers
collect information from various sensors and transmit
it to the user’s remote device.
● Unattended weather changes that affect the parameters
being recorded by weather stations to help with
agricultural tasks.
● Relay status monitoring in railroad signalling
Subtypes of significant dataloggers based on the signal
categories they record are:
● Temperature data logger
● Voltage data logger
● Current data logger
● Power data logger
● Electrical data logger
● Vibration data logger

6. ● Shock data logger
● Strain gauge data logger
● GPS logger
Data loggers can be identified by taking a look at some
fundamental traits:
● Sample Volume
● Input Formats
● Count of channels
● Data Retention
● Taking Notes Times
● User Experience
● Localized Watching
● Energy System
● Cost.
Conclusion:
Data loggers typically cost less than chart recorders. They
provide additional versatility and come in a wider range of input

7. formats. Most data loggers collect data that can be directly
transferred to a computer. Although some recorders provide this
option, it typically comes at a large price premium.
When high sample rates are necessary, data capture systems are
flexible and attractive. However, because they need to be
installed on or connected to a computer, the computer must also
be present and working while data is being collected. Data
loggers provide data collection without the need for computers.
Non-volatile memory is typically used to store data that will
subsequently be downloaded to a computer. During the data
collection process, the computer is not necessary. They are
therefore perfectly suited for applications that demand
portability.
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