Making Data Acquisition Easy
ICP DAS USA has announced the launch of a new high-speed data acquisition module with a built-in Ethernet communication port for network data transfer.
PET-7H16M includes 8 high-speed analog input channels with a FIFO of 2048 samples, and a maximum sampling rate of up to 200 kS/s with 16-bit analog-to-digital (A/D) converters simultaneously sampling on each channel. In addition to the Analog input channels, each module provides 4 digital input and 4 digital output channels.
The data acquisition module also provides a programmable input range on all analog Input channels, and the Digital Output can be set to output with short-circuit and overload protection. The PET-7H16M series also provides 4 kV ESD protection as well as 2500 VDC intra-module isolation.
Three trigger modes for A/D conversion are supported: a software trigger, an external clock trigger, and an external digital signal event trigger (Post-trigger/Pre-trigger). The software trigger can acquire a sample whenever needed, and the continuous A/D acquisition, or the acquisition of N data samples, begins after the command is triggered. In external clock trigger mode, the speed of the A/D acquisition and the amount of data acquired are controlled by external electrical signals. In digital signal event trigger mode, the A/D acquisition parameters are configured by user commands and the A/D acquisition of the N data samples is triggered by an external electrical signal.
Ethernet offers distinct advantages over other data transmission mediums. Ethernet is a reliable, easy-to-install platform with a long transmission distance and fast transmission speed. Not only is Ethernet ubiquitous in enterprise IT, but it is also becoming a mainstream specification for industrial communication.
Most high-speed synchronous data capture systems use a capture card on a computer host to collect data. As projects expand, and the required number of channels increases, especially if data acquisition devices are distributed across multiple sites, the number of computer hosts increases— making the data network more complex than it needs to be.
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