In future, industrial manufacturing will be both simpler and more modular. Both these trends result from the adoption of concepts like Integrated Industry and Industry 4.0: the equivalent of the Industrial Internet of Things. Compact and robust solutions will have to be developed to implement distributed task assignment in the field. These tasks might include the acquisition of sensor data or data from communications with central IT systems. These scenarios are tailor-made for HARTING’s MICA® (Modular Industry Computing Architecture) to come into play.
Open platform
MICA® is a modular and open platform for the fast and cost-efficient implementation of individual Integrated Industry projects. The MICA® platform consists of a toolbox for hardware modules and software applications that offers the ability to provide rapid prototyping and application development. In contrast to single-board computers such as Beaglebone or Raspberry Pi, MICA® features a three-part board, one part of which can be customised.
Another advantage is its suitability for industrial use, down to the smallest of details: the MICA® is robust and comes in a compact aluminium housing, including industry-standard connectors. Even with hardware adaptations, the form factor and the degree of protection remain constant.
The modular concept has served as the basis on which different MICA® versions have already been implemented by HARTING and within the HARTING partner network. These include:
- MICA® Energy for capturing energy data via a Modbus interface
- MICA® as an RFID reader with integrated data processing capabilities
- MICA® variants with fieldbus connectivity for EtherCAT, Profinet and Ethernet/IP applications
- MICA® as a gateway to LoRaWAN (Long Range Wide Area Network) networks
Linking MICA® to RAMI 4.0
MICA® assumes a key function when the initial step is taken on the way to Industry 4.0: the digitalisation of production equipment. First, this move means that the MICA® is linked to the Reference Architecture Model of Industry 4.0, or RAMI 4.0 for short, which was jointly defined by the German business associations BITKOM, VDMA, ZVEI and other partners. Essential elements of Industry 4.0 are brought together by RAMI 4.0 in a three-dimensional co-ordinate system which features a layered structure. The goal is to use a service-oriented architecture to aid in abiding by a common understanding of standards, Industry 4.0 technology and different user perspectives.
RAMI 4.0 recommends using the concept of a so-called management shell to create the virtual image of a device or a machine in the digital world. MICA® represents the ideal hardware basis for this: it makes devices usable which were previously not even networked, or which possess outdated communication capabilities. In the virtual world, MICA® helps to transform old machines into new, modern devices, as shown by the following examples from HARTING’s own production plants.
Retrofitting production equipment
Centralised machine monitoring and process optimisation are two of the fastest ways to operate production systems and machines more efficiently and cost-effectively. With machinery lifetimes of between 15 and 30 years, a large part of the existing machine stock usually possesses neither the computing power nor the memory capacity to capture, store or communicate relevant data. In many cases, these machines also use data formats and protocols from the 1980s and 1990s.
A retrofit example can be found in an injection moulding machine used in HARTING’s connector manufacturing line. Here, the MICA® bridges the gap between the injection moulding machine and the ERP/MES by implementing the RAMI 4.0 management shell. It also implements the necessary protocol conversion between the legacy Euromap 15 protocol and modern communication systems such as MQTT or OPC UA. In the other direction, it handles the conversion back to byte sequences and communicates with the machine in accordance with the protocol.
All data are then optionally stored locally on the MICA® in Influx DB: an Open Source database optimised for time series – using the freely available MICA® MQTT container and evaluated using the Open Source tool Grafana, or transferred to an IBM data centre in for storage and evaluation via a Watson IIoT connector installed on the MICA®.
