Programmable Smart DAQ with 4-Channel Sound and Vibration Input, 24-bit, 128 kS/s, 4-Channel DI/O

Key Features

Standalone Ethernet DAQ with Edge Computing Support
RESTful API for periodic machine status polling
Supports C/C#/C++/Python/LabView APIs for continuous data streaming
Built-in Web Console for easy configuration and portable DAQ use
Supports iApp deployment for edge-side data analysis and efficiency improvement

The ultra-compact edge DAQ features an ARM Cortex-A9 processor with built-in, four-channel, 24-bit, high-resolution analog inputs. It can be used as a standalone device without a host PC, making it ideal for 24-hour vibration monitoring of rotating machinery. xmdaq provides high-precision static and dynamic measurement capabilities. The 24-bit Sigma-Delta ADC supports anti-aliasing filtering, modulation suppression, and out-of-band noise rejection, providing usable signal bandwidth at the Nyquist rate, making it an ideal choice for high dynamic range signal measurement in machine condition monitoring applications. Data can be quickly transmitted to a central hub via Gigabit Ethernet communication. Dual Ethernet ports support daisy-chain connections, reducing network equipment costs and extending communication distance.

Distributed Machine Monitoring On-site monitoring of the status of machinery such as compressors, vacuum pumps, motors, bearings, and generators is crucial for maintaining smooth factory operations. Traditionally, operators periodically visit remote machinery for inspection. However, by the time an anomaly is detected, the machinery may have already suffered extensive damage. To provide continuous machinery monitoring, a DAQ system comprising an embedded system and DAQ cards can be deployed at each remote machinery site. However, when the number of remote machines is large and their locations are dispersed, deploying a DAQ system at each site becomes prohibitive. The DAQ is a standalone Ethernet DAQ system, designed to perform DAQ system tasks without the need for complex embedded systems.

Filtering Data at the Edge Signals acquired by sensors are raw data and must be filtered and converted into usable data, such as FFT, voltage, g-type arrays, or OA values. The DAQ is a standalone DAQ system that can be deployed at each field site to perform the task of filtering raw data (traditionally done by embedded systems). By converting and transmitting the filtered, reduced-size data from the edge to a central hub, network load and the processing demands on backend servers will be significantly reduced.

iApp at the Edge The DAQ uses custom filtering algorithms written in Python, offering flexible support options. These valuable and confidential algorithms can be generated as iApps using the iApp Creator included in the DAQPilot software package, then deployed and executed on the device. The DAQ enables cost-effective migration of iApps and user-defined filtering algorithms to the edge.

Built-in Web Console The DAQ features a built-in Web console, allowing users to configure it via a web browser, making it easy to start machine condition monitoring without programming. Relevant parameters and data type settings are presented in an intuitive dashboard format. The DAQ can quickly and easily set up a machine condition monitoring environment.