What is data logging?

logging or obtaining data is in its simplest concept by entering information to learn more about the process or system. It creates the basis of understanding a variety of systems. Much information about the logger archive, such as temperature, sensors, and then convert information to electrical signals. The data is archived and can be filtered and properly understood as soon as it is obtained.

We need data recorder to start the process. It can be a separate Logger device or device based on a personal computer (PC). The data recorder is a tool that connects to other devices for the only purpose of collecting information.

Separate logger has many advantages over the logger based on PC. Many of them have their own energy source in the event of power failure, so vital information will not be lost if Thbyl's power failure.

Since it is specially designed for data logging. Information from a separate logger can then beconvert to a personal computer.

data logging is used in various simetations. An easy example is the Black Box recorder on the plane, which collects information about the flight of the aircraft to be used later. Another is a meteorological system used by meteorologists to detect temperature and pressure to determine the upcoming weather conditions.

Data logging provides collection of statistics that are used for better understanding of the field you work in. Information is needed in all types of enterprises to determine performance, quality, reduce cost of efficiency, fuel consumption and many other vital information./P>

over the years has developed data logging and the type of protogers used. In the past, the equipment was bulky and mechanical and used huge paper charts. Now sophisticated computers and microprocessors load informationsomewhat than could be processed before.

You use the protoggers unknowingly in the public in your everyday life.

The next time you are in a supermarket and hand over your credit card or storage card, the data logging device can monitor your expenditure movements in the store. It can assess which items you bought, how many times you buy them per month and even how many times you use a store.

In today's company, almost all information from weather to our shopping habits ends in data record. The information is archived and stored for use later.