Essay Data Logging

INTRODUCTION Observation and measurement are central features of practical activity in science. Traditionally, pupils are taught to use a variety of measuring instruments, each of which requires a particular skill for obtaining readings. They record their collected readings in a table and often plot the results in the form of a graph. Now, all these measuring activities may be readily performed using a computer or a calculator and a data logger. Data logging is commonly used in scientific experiments and in monitoring systems where there is the need to collect information faster than a human can possibly collect the information and in cases where accuracy is essential. Examples of the types of information a data logging system can collect include temperatures, sound frequencies, vibrations, times, light intensities, electrical currents, pressure and changes in states of matter. A data logger , commonly referred to as a “HOBO,” is defined as an electronic instrument that records measurements of all types at set intervals over a period of time. As mentioned above, data loggers can record a wide variety of energy and environmental measurements including temperature, relative humidity, AC/DC current and voltage, differential pressure, time-of-use (lights and motors), light intensity, water level, soil moisture, rainfall, wind speed and direction, pulse signals, and more. Before using data logger we should know how this data logger work. As a user, we must know how to handle this data logger properly because not many people know how to handle it especially when doing an experiment. This is because we want to get more correct result and to have interesting learning process for students. First thing first, the data logger is connected to a PC or MAC computer via a USB interface. Accompanying data logger software is used to select logging parameters (sampling intervals, start time, etc.) and activate the logger. The logger is then disconnected and deployed in the desired location, where it records each measurement and stores it in memory along with the time and date. After the desired monitoring period, the data logger is then reconnected to the computer and the software is used again to read out the data and display the measurements in graphs that show profiles over time. Tabular data can be viewed as well, or exported to a spreadsheet for further manipulation. In the case of web-based data logging systems, data are pushed to the Internet for access, and with wireless data nodes, data are transmitted to a central receiver.

Essay Data Logging

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