What is a data logger? If you are an industry player, at least once you have come to the question, what is DataLagger? What is a data logger? If we want to describe it precisely, the data logger or data logger or data logger (Data Logger).
An electronic device that stores data stored by the sensors embedded in the device or external device over time or in relation to the location.
Most data loggers (but not all of them) are designed and built on a digital processor (or computer). They are generally small and portable, powered by batteries, plus a microprocessor and an internal memory for data storage and a number of sensors. Some datagrams are connected to the computer and can be activated by using the software, and monitored data is controlled, while others have a local interface (such as a keyboard and display) and can be used by them. Use as a standalone device. Dataloggers have a variety of types, from every type of device that is used for the normal range of applications to very specific devices for measuring only in a predetermined environment or application. It is common for all types of programs to be programmable, however, many of them remain stationary without parameter or limited parameter variables.Electronic datagrams have replaced the Chart Recorders in many applications. One of the main advantages of data loggers is the ability to collect 24-hour information. Data loggers are often left unchecked when they are activated, to monitor and store information during the monitoring period. This feature allows you to get a thorough and accurate picture of the environment under observation such as air temperature or humidity.
Due to the technology involved in the construction of some high-level data loggers, or because of the various environmental conditions that a datagram needs to perform data-mining operations, they can be very expensive. However, high-quality types generally last for several years.
Standardization of protocols and data formats has been difficult from the past, but today it is growing in industry. Among the data storage formats every day, the XML acceptance is added to the data exchange.
Many protocols have been standardized to include an intelligent protocol, SDI-12, which allows some hardware devices to be connected to a variety of data loggers. The use of this standard was not widely accepted outside the environmental industry. Also, some active companies in this field today support the MODBUS standard. This standard, based on Canbus or (ISO 11898), has traditionally been used in industrial control, which is today much more used than ever before. Some datagrams adapt themselves to a variety of non-standard protocols using their flexible programming environment.
The data logger application includes:
Store at an unhealthy meteorological station (such as wind speed / wind direction, temperature, relative humidity, solar radiation)
Storage at unprotected stations and hydrograph (such as water level, water depth, water flow, pH, water conductivity)
Automatic soil moisture storage
Automatically save gas pressure
Road traffic counting
Measurement of temperature (humidity, etc.) of perishable material during transportation of Cold chain
Process monitoring to maintain and troubleshoot applications
Vibration measurement and delivery conditions (fall height) in distribution
Monitoring the status of the relay in the signal of the iron pipe
Storage of electric loading chart for energy management
Vectorization of temperature and pressure variables along the pipeline
Monitoring oil and gas pipelines
Characteristics of a datagram
Number of Channels: The number of channels represents the number of sensors and transducers that can be connected to the datagram at the same time.
Sampling Frequency: This number represents the number of times a datagram reads the data of each sensor and transmits it to a computer or memory. For example, when a data source is said to have a sampling frequency of 300 Hz, it means that every one hundred thirty seconds the data is transmitted from the sensors to the computer.
Supported Sensor Types: Typically, every data logger supports certain sensors and transducers. For example, a data logger may only be able to support RTD thermal sensors but can not support thermocouples.
Processing collected data: Usually, each data logger is equipped with an application that allows its configuration and viewing of the graphs obtained from sensors during sampling.
Duration of data recording: A basic parameter in data logger systems is the ability to record information for a long time, for example, several years. To achieve this, data logger systems need to have high-capacity storage media and very low power consumption.
Hardware: Hardware converts signals into digital data, including sensors, signal improvement circuits (such as amplifiers and noise reducers), and analogue to digital converter circuits.
Long-term data storage hardware, usually a memory card or computer.
Datalogger software used to collect, analyze and display data
Datalogger cable that connects the data logger and the computer to transfer data stored on the computer
These data can include parameters such as temperature, stretching, displacement, current and voltage, pressure, resistance, power, etc.
Different types of data logger and Data Acquisition (DAQ)
Usually, each data logger is equipped with an application that allows it to adjust its settings and view the graphs obtained from sensors during sampling.
One of the major factors in data logger systems is the ability to record information for a long time, for example, several years. In order to achieve this goal, datagram systems need high-capacity storage media and very low power consumption.
Data Acquisition or DAQ is the same as a data logger, but it eliminates most of the data logger's limitations in collecting data from modules and sensors with signals of a different kind
(2WR-4WR-FREQ-PERIODE ORDER SENSOR OUTPUT-ACV-DCI ACI-DCV), which can be used to measure the DAQ simultaneously.
How data loggers work
Data loggers use sensors to convert physical phenomena and stimuli to electronic signals such as current or voltage. Subsequently, these electrical signals are converted to binary data and transmitted to the computer or memory. These binary data can easily be analyzed by computer programs and stored on a computer's hard disk or storage media such as a memory card, CD, DVD, etc.
The use of datagrams features a variety of datagrams, the ability to harvest sensors and store data, so that they can be used later, although data storage is not required when using a datagram. You must have the ability to analyze and deliver stored data to be able to make decisions based on your stored data. Below is a list of uses of datagrams.
Includes all the analyzes that you want to do before storing data. For example, the conversion of the voltage measured to scientific units is meaningful, such as degrees Celsius. You will be able to do this complex calculation and compress the data before saving them. Part of the control of the system (such as a pump cut-off, etc.) is part of the online analysis based on current measurements. All data logger software must convert binary data to voltage and convert voltages to practical units.
Includes analyzes that are performed on stored data. A simple example of offline analysis is the search for a particular data in previous data or spam data.
Using this feature, you will be able to store the analyzed data in the desired format.
This stage includes sensors and data logger hardware that uses it to convert physical phenomena to digital signals.
View, share and report
Includes creating reports that you need to display your data. You can directly display online analytics. This feature allows you to monitor and display your data while aggregating and analyzing them.