Agilent Gui Data Logger Software Download ((LINK))
Vernell Steakley
Whether you use GPIB, RS-232, LAN or USB interfaces, this data acquistion unit offers easy connection to the PC. The 34972A has built-in Gigabit LAN and USB 2.0 so you can connect to a modern PC without having to purchase any GPIB cards, cables or converter boxes. With the standard LAN connections you also get the added benefit of a graphical Web interface for easy configuration of measurements and monitoring of results using a standard Web browser.
The Data Acquisition / Data Logger Switch Unit consists of a 3-slot mainframe with a built-in 6 digit DMM and 8 different switch & control modules. This product features built-in LAN and USB interfaces so you can easily connect to a PC or laptop without needing to purchase additional IO cards or converter interfaces. The intuitive graphical Web interface offers easy remote control over the network with per channel measurement configuration, data logging, and data monitoring. The Agilent 34972A can accept any of the Agilent 34970A plug-in modules.
With a simple address change it is easily integrated into an existing test with no wiring or hardware changes. The plug-in modules also feature on-board screw terminals and relay closure count so you can create a compact data logger, full-featured data acquisition system or low-cost switching unit that is easy to connect, configure and use on the bench, on a network or in field applications.
The Keysight 34970A data acquisition / data logger switch consists of a three-slot mainframe with a built-in 6 1/2-digit digital multimeter. You can configure each channel independently to measure one of 11 different functions without the added cost or hassles of signal-conditioning accessories. Choose from eight optional plug-in modules to create a compact data logger, full-featured data acquisition system or low-cost switching unit. On-module screw-terminal connections eliminate the need for terminal blocks and a unique relay maintenance feature counts every closure on every switch for easy, predictable relay maintenance. Our most popular module 34901A features a built-in thermocouple reference and 20 two-wire channels.
The 34970A Data Acquisition / Data Logger Switch Unit consists of a three-slot mainframe with a built-in 6 digit digital multimeter. Each channel can be configured independently to measure one of 11 different functions without the added cost or hassles of signal-conditioning accessories. Choose from eight optional plug-in modules to create a compact data logger, full-featured data acquisition system or low-cost switching unit. On-module screw-terminal connections eliminate the need for terminal blocks and a unique relay maintenance feature counts every closure on every switch for easy, predictable relay maintenance. The popular 34901A module features a built-in thermocouple reference and 20 two-wire channels.
The model we're using is an Agilent 34970A, the one without on-device USB or Ethernet connectivity. We're using an adapter to convert the GPIB connection in both cases. Agilent's data logging software, BenchLink, can communicate over either adapter so we have confirmed that connectivity is possible with either adapter.
Agilent HP 34970A Data Acquisition Switch Unit w/ DMM-NIST Traceable calibration certificate w/ data report.-Power cableProduct OverviewThe Agilent 34970A Data Acquisition / Data Logger Switch Unit consists of a three-slot...
Keysight Agilent 34972A Data Acquisition Switch Unit w/ DMM-NIST Traceable calibration certificate w/ data report.-Power cableProduct OverviewThe Agilent 34972A is a Data Logger from Agilent. Data loggers, or data recorders,...
Psychrometric and airflow measurements are used to monitor a batch dryer.Algorithm retrieves sensor signals sampled by DAQ and perform calculations.Several sources of error were found to affect the method accuracy.Wet bulb temperature measurements are particularly important for accuracy.Sensor characteristics and location must be adequately selected. The possibility of a continuous monitoring of moisture content in batch dryers using air humidity was studied in a laboratory-scale test stand. Psychrometers formed by two K-type thermocouples, one of them kept moist, were installed at the system inlet and outlet to measure the increase in the humidity of the drying air. A grid measurement of air velocity at the inlet duct was used to estimate the airflow from a single measurement point. The sensors were connected to a data logger and this to a computer. An algorithm written in MATLAB allowed the retrieval of measured data from the data logger at specified time intervals and the calculation of the mass of water removed. Numerous drying trials have shown that this method can be suitable for drying monitoring. Errors in the calculation of final moisture content of less than 0.03 (dry basis) could be obtained. The difficulty in measuring wet-bulb temperature with sufficient accuracy over long periods was seen as the main obstacle for a reliable use of the method. Attention must be paid to different possible sources of error, which can be minimized by adequate sensor selection and location.
The monitoring and assessment of small and medium solar energy plants were ruled out as the existing programs for these tasks are expensive and they are designed to run directly on the installation site, making it necessary to have both a monitoring system, such as data logger, and specialized staff capable of analyzing the monitoring data. To address these problems, this paper presents a framework that allows the development of programs for remote monitoring and automatic evaluation of solar energy plants without using any additional hardware. Software architecture based on separating the software functionalities into several layers and on using a hierarchical model of the plant elements is proposed. This framework allows the integration of different technologies and communication protocols of devices used in solar energy plants. A monitoring and assessing program for several dispersed solar energy installations has been developed as practical example.
The LARS joins efforts of faculty and students who collect, process, and analyze very-high-resolution imagery acquired by unmanned aircraft systems (UAS) or drone flying at a low altitude. The UAS include a professional fix-wing eBee mapping drone with five cameras (RGB, NIR, RedEdge, Thermal, and Sequoia) that is capable of collecting aerial photographs at a spatial resolution down to 1.5 cm/pixel. The lab also contains a rotary-wing DJI Inspire 1 Pro UAS with a professional camera that can film 4K pictures and HD videos. Important accessories include 2 Onset Hobo pyranometers with data logger that can measure solar irradiance with a range of 0-1280 W/m2 over a spectral range of 300-100nm. The UAV has been used to conduct studies for large-scale photogrammetry mapping, image processing technique validation and improvement, and agriculture and environmental applications.
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