Data Loggers

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Portable and wireless data loggers for monitoring and recording analog variables like temperature, humidity, pressure, and digital, flow pulses or open / closed sensor, in most processes, such as industry, logistics, infrastructure IT, cold chain, among others.


  • New

    Multichannel IoT Datalogger LogBox LTE

    Multichannel IoT Datalogger

    LogBox LTE

    O LogBox LTE is a multichannel IoT data logger that operates on the NB-IoT and Cat-M1 bands, allowing for continuous monitoring of remote applications in a practical and secure way. The measured data is stored in the dev...

  • Data logger Wi-Fi  LogBox Wi-Fi

    Data logger Wi-Fi

    LogBox Wi-Fi

    LogBox Wi-Fi is an IoT device with integrated data logger and Wi-Fi connectivity. It allows monitoring and recording of data remotely, in facilities with Wi-Fi infrastructure. The data can be accessed remotely, wirelessl...

  • Bluetooth Multi Channel Data Logger LogBox BLE

    Bluetooth Multi Channel Data Logger

    LogBox BLE

    LogBox BLE is a bluetooth data logger for up to three analog sensors and one digital. The analog channels accept direct connection of thermocouple temperature sensors or Pt100 and sensors for any other quantities with si...

  • Micro Data Logger  LogBox-DA

    Micro Data Logger

    LogBox-DA

    LogBox-DA is an electronic data logger with two input channels, one analog and one digital. Input data is stored in the logger internal memory, for later download to a PC for visualization and analysis in the form of tab...

  • Micro Data Logger for Analog Signals LogBox-AA

    Micro Data Logger for Analog Signals

    LogBox-AA

    LogBox-AA is an electronic data logger with two input analog channels. Input data is stored in the logger internal memory, for later download to a PC for visualization and analysis in the form of tables or graphs. The da...

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Common questions

+ What are data loggers?

A data logger is an instrument that monitors and records changes in conditions over time. They can be single, stand-alone units or consist of multiple channels. Most stand-alone units are battery-powered, allowing them to record while in transit and for extended periods of time.

+ What is data loggers?

Data logging can be done manually by constant human observation. An example of this might be recording the temperature changes over the course of an hour in a centrally heated room using a timer, thermometer, pen and paper.

+ What is data acquisition?

Data acquisition is the process of digitizing data from the world around us so it can be displayed, analyzed, and stored in a computer.

+ What is data acquisition system?

A data acquisition system is a collection of software and hardware that allows one to measure or control physical characteristics of something in the real world. A complete data acquisition system consists of DAQ hardware, sensors and actuators, signal conditioning hardware, and a computer running DAQ software.

+ Low cost data logger

The Portable Series stand-alone, low cost data loggers are ideal for remote applications and transporting goods, as well.

+ What are data loggers used for?

Data loggers are electronic devices which automatically monitor and record environmental or industrial process parameters over time, allowing conditions to be measured, documented, analysed and validated. The data logger contains a sensor to receive the information and a computer chip to store it.

+ How do data loggers work?

A data logger works by automatically monitoring and recording specific environmental conditions and parameters via their sensor components, then storing the resulting data in their internal memory. They can be configured as either relatively simple single-channel devices or more complex multi-channel versions.

+ How data loggers work?

Data loggers are electronic devices that automatically monitor and record environmental parameters over time, allowing conditions to be measured, documented, analyzed and validated. The data logger contains a sensor to receive the information and a computer chip to store it.

+ How should data loggers be used?

Data logger is an electronic device that records critical data over time. Providing high-quality sensor data around things like temperature humidity, shock, vibration, and more, they assist in product and consumer satisfaction and safety. Several industries ship and store sensitive products that can become compromised based on the environment it either is stored or shipped in.

+ What do data loggers measure?

Data loggers can monitor temperature, humidity, carbon dioxide, pH, pressure, voltage, current, and pulse – making them useful for a number of applications, including to: Verify temperature and humidity levels of storage and transportation facilities.

+ Where are data loggers used?

Data loggers are used wherever there is some advantage in recording conditions over a period of time. Applications range from obtaining a record of wind speed to tracking temperature in refrigerated storage containers, to monitoring flow rate at a remote pumping station.

+ How do data loggers work?

Most are equipped with an internal microprocessor (effectively a small, multi-function computer processing chip), some form of on-board data storage, one or more sensors or detection instruments, and potentially a variety of other accessories.

+ How should data loggers be used?

Data loggers can monitor temperature, humidity, carbon dioxide, pH, pressure, voltage, current, and pulse – making them useful for a number of applications, including to: Verify temperature and humidity levels of storage and transportation facilities.

+ Where data acquisition system is used?

Data acquisition systems are being used in various applications such as biomedical and aerospace. So, we can choose either analog data acquisition systems or digital data acquisition systems based on the requirement.

+ What is the goal of data acquisition?

The main goal when defining a correct data acquisition strategy is therefore to understand the needs of the system in terms of data volume, variety, and velocity, and take the right decision on which tool is best to ensure the acquisition and desired throughput.

+ What is data acquisition in ai project cycle?

Data Acquisition is the process of collecting accurate and reliable data to work with. Data acquisition is the second step in the project cycle, we should ensure the data collected is collected from authentic and reliable sources for effective Decision Making.

+ What is data acquisition in machine learning?

Data acquisition meaning is to collect data from relevant sources before it can be stored, cleaned, preprocessed, and used for further mechanisms. It is the process of retrieving relevant business information, transforming the data into the required business form, and loading it into the designated system.

+ What is data acquisition system MCQ?

It is an industrial computer control system that continuously monitors the state of input devices and makes decisions based upon a custom program to control the state of output devices.

+ What are data acquisition systems?

A data acquisition system is a collection of software and hardware that allows one to measure or control physical characteristics of something in the real world. A complete data acquisition system consists of DAQ hardware, sensors and actuators, signal conditioning hardware, and a computer running DAQ software.

+ What is data acquisition in data warehouse?

Data acquisition has been understood as the process of gathering, filtering, and cleaning data before the data is put in a data warehouse or any other storage solution. The acquisition of big data is most commonly governed by four of the Vs: volume, velocity, variety, and value.

+ What is data acquisition in data science?

Data acquisition has been understood as the process of gathering, filtering, and cleaning data before the data is put in a data warehouse or any other storage solution.

+ What is data acquisition in remote sensing?

Remote sensing data acquisition can be conducted on such platforms as aircraft, satellites, balloons, rockets, space shuttles, etc. Inside or on-board these platforms, we use sensors to collecting data.

+ What do you mean by data acquisition?

Data acquisition is the process of digitizing data from the world around us so it can be displayed, analyzed, and stored in a computer.

+ What is data acquisition in AI?

Data Acquisition is the process of collecting accurate and reliable data to work with. Data acquisition is the second step in the project cycle, we should ensure the data collected is collect from authentic and reliable sources for effective Decision Making.

+ How data acquisition system works?

Data acquisition system (DAS) is a computerized system that collects data from the real world, converts it into the form of electrical signals and do required processing on it for storage, and presentation on computers. The complete system is controlled and operated by a software application.

+ Why should we use temperature data loggers?

Temperature data loggers are used for temperature and humidity monitoring and are above all employed in the industrial sector, where temperature and humidity play a major role. In this respect, a distinction is made between single-use instruments and long-term monitoring instruments.

+ How to calibrate data loggers?

All loggers are calibrated by comparison against a calibrated reference thermometer with an immersion PRT probe. The logger or probe is placed in an environmental chamber, which is set to ramp to each of the temperature points specified and hold that temperature for 2 hours or more.

+ What is data loggers in physics?

A simple experiment such as the temperature change of hot water is easy to set up with results available within minutes. With data loggers often utilising sensors such as distance, sound, light, pH, air pressure and temperature, there are hundreds of different experiments for students.

+ How should data loggers be used NHS?

The most common use of digital data logging in a hospital is to monitor temperature levels in fridges and freezers that are used to store sensitive assets such as vaccines, tissue samples, blood, and organs for transplant.

+ Why are data loggers better than thermometers?

An example of this might be recording the temperature changes over the course of an hour in a centrally heated room using a timer, thermometer, pen and paper. However, using an electronic data logger is much more effective, accurate and reliable than taking periodic manual readings.

+ Why are data loggers used?

Data loggers are electronic devices which automatically monitor and record parameters over a time, allowing conditions to be measured, documented, analysed and validated. They are used to keep a register of a batch of measurements in those processes that must have a critical control or simply to analise a lab test, like when you wan to generate a chart from this readen values. Data loggers are very usefull in so many cases because they help to keep data sotred securely.

+ What's temperature data loggers?

A temperature data logger is a form of data logger optimized or configured for temperature probes or sensors (and in the case of a temperature and humidity data logger, with humidity sensors too). A temperature logger is an electronic device capable of storing a number of measurements.

+ Who uses data loggers?

Temperature monitoring and humidity levels in manufacturing environments, storage facilities, hospitals, industries such as chemical, manufacturig, electronics, food and bevarage, water tretament plant, energy generation and other public facilities.

+ How are data loggers used?

Data loggers are electronic devices which automatically monitor and record environmental parameters over time, allowing conditions to be measured, documented, analysed and validated. The data logger contains a sensor to receive the information and a computer chip to store it.

+ What are data loggers in science?

"Data loggers also offer schools significant advantages over other data capture methods including: Speed – data loggers can capture thousands of pieces of information in seconds as well as capturing data when students are not around Accuracy – data loggers automatically capture the required information, reducing the risk of human error and removing the risk of a forgotten or missed reading Storage – storing a large amounts of data which is accessible for analysis by students at a later time"