Autonomous DAQ engine for evaluating sensor data
Acceed in Germany has launched an autonomous data recording system for industrial automation.
The MCM-216 data acquisition (DAQ) system functions autonomously and has 16 channels for feeding voltage values. Its sister model MCM-218 works with 8 inputs for recording analogue current values from 0 to 20 mA. Both models support a maximum sampling rate of 250 kS/s and are based around a 1.0 GHz ARM Cortex-A9 microcontroller.
Data recording in Industry 4.0 manufacturing environments is used for identifying and collecting important information, which is also necessary as a basis for management and controlling, energy-efficient use and the anticipatory servicing of automated systems. For this purpose, sensors record the desired condition and performance data for individual components and pass on corresponding signals, voltage or current to the DAQ module.
Converted to digital values by the MCM-216, the autonomous system can either trigger programmed actions directly on-site via digital and analogue outputs, or communicated digitally to the control system or to further autonomous devices. The direct recording of vibrations is a typical application to identify the formation of bearing defects in good time and therefore warn against possible subsequent damages, known as condition monitoring.
In larger, centrally managed computer architectures, the recording and digitalisation can, for example, take place via several DAQ plug-in cards such as PXIe systems, or processing takes place decentralised in edge computing devices in the vicinity of the signal transmitters.
Both devices are housed in a 127 x 111 x 40 mm industrial aluminium casing without an additional host computer and be integrated in existing networks via the two gigabit Ethernet interfaces. Two LAN sockets allow several devices can be easily linked on-site. The raw signals recorded by the sensors can be directly filtered locally and compiled in higher-value data such as FFT, voltage, arrays or OA values. With this, one or several devices can be applied as an independent measurement system at remote field locations. In case of transfers of the converted and filtered sized-down data to a central location, the processing requirements of the backend server are reduced drastically.
An integrated Web console makes configuration without additional software possible. A standard Web browser suffices for remote data recording setup. The settings for relevant parameters and data types are depicted in an intuitive dashboard format. Application-specific filter algorithms can also be imported via the Web console, are written in C/C++ and compiled under Linux.
The admissible ambient temperature for operation is defined with 0 to 50 °C.