SDAQ-204

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

Key Features

• Standalone Ethernet DAQ enabling edge computing
• RESTful API for periodic machine condition polling
• Supports a C/C#/C++/Python/LabView API for continuous data streaming
• Built-in web console for easy configuration and use as a portable DAQ
• Supports iApp deployment for data analytics and efficiency at the edge
• Supports IEPE 4mA excitation on each analog input to drive an accelerometer for sound and vibration measurement
• Two 1Gb Ethernet ports for daisy chaining to multiple devices

ADLINK’s SDAQ-204 ultra-compact edge DAQ based on ARM Cortex-A9 processors and featuring built-in, four-channel, 24-bit, highresolution analog input, can function as a standalone device without a host PC and is ideally suited for 24-hour vibration monitoring of rotating machinery and equipment. The SDAQ-204 delivers high-precision static and dynamic measurement performance. The 24-bit Sigma-Delta ADC supports antialiasing filtering, suppressing modulation and signal out-of-band noise and providing usable signal bandwidth at the Nyquist rate, making it ideal for high dynamic range signal measurement in machine condition monitoring applications. Through Gb Ethernet communication, data can be transmitted to a central hub quickly. Dual Ethernet ports enable daisy-chain connections that reduce the cost of network equipment and extend the communication distance.

Monitoring of Distributed Machines
Monitoring the condition of machines in the field with compressors, vacuum pumps, motors, bearings, and generators is key to keeping factories up and running smoothy. Traditionally, operators would visit remote machines periodically to perform inspections. However, by the time an abnormality was detected, the machine may have already suffered extensive damage.
In order to provide constant machine monitoring, a DAQ system composed of an embedded system plus a DAQ card can be deployed at each remote machine site. However, when there are many remote machines spread out geographically, the deployment of DAQ systems at each site becomes prohibitive. The SDAQ-204 is a standalone Ethernet DAQ system that is designed specifically to perform the tasks of a DAQ system without requiring a complicated embedded system.
Data Filtering at the Edge
The signals acquired by sensors are raw data that must be filtered and converted into usable data such as FFT, voltage, g-type array, or OA values. The SDAQ-204 standalone DAQ system can be deployed at each field site and perform the task of filtering raw data that was traditionally done by an embedded system. By converting and transmitting filtered, size-reduced data from the edge to a central hub, network load and processing demands on backend servers are reduced dramatically.
iApp at the Edge
TThe SDAQ-204 offers flexible support options for custom filtering algorithms written in Python. These valuable and confidential algorithms can be deployed and executed at the device as an iApp through iApp Creator contained in the DAQPilot software package. The SDAQ-204 enables the migration of iApp, user-defined filtering algorithms, to the edge in a cost-effective manner.
Built-in Web Console
The SDAQ-204's built-in web console allows configuration via web browser to make it easy to get started with machine condition monitoring and eliminate the need for application specific programming. Settings for relevant parameters and data types are presented in an intuitive dashboard format. The SDAQ-204 makes it quick and easy to set up a machine condition monitoring environment. 

ADLINK provides rich data connectivity to assist users with integrating the SDAQ-204 into their system.
• Streaming SDK (with C/C#/C++/Python/LabView sample code)
• RESTful API