Page 40 - EE Times Europe Magazine | March 2020
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40 EE|Times EUROPE — Boards & Solutions Insert



         COVER STORY
        Open-Source Platform for Industry 4.0


        By Maurizio Di Paolo Emilio


                he Intelligent Condition Monitoring Box (iCOMOX) is an open-source   PREDICTIVE MAINTENANCE FOR
                development platform for condition-based monitoring of equipment,   INDUSTRY 4.0
                assets, and industrial facilities. The goal of the board is to monitor   Predictive maintenance is a true strategy,
                                                                                supported by intelligent IoT sensors and
        T operating conditions at the equipment surface to identify potential fail-  embedded control solutions that offer
        ures and reduce the risks associated with equipment operation and maintenance.   advanced business models to create addi-
        Condition-based monitoring extends equipment operating life while minimizing   tional value between company and customer
                                                                                and achieve significant maintenance cost
        unplanned downtime and maintenance costs. The open-source platform thus   savings. Sensors can be used to monitor
        advances the goal of Industry 4.0 automation to increase production efficiency   key equipment continuously, and produc-
                                                                                tion data can be recorded and wirelessly
        through digital solutions.
                                                                                transmitted in real time to the cloud for
                                                                                predictive-maintenance analysis to optimize
                                                                                flow and enhance security. Consulting firm
                                                                                McKinsey & Co. estimates that effective use
                                                                                of predictive maintenance in factories can
                                                                                reduce downtime by up to 50% and save 10%
                                                                                to 40% on equipment maintenance costs.
                                                                                  Predictive-maintenance environments
                                                                                include a platform to model, simulate, test,
                                                                                and deploy the solution. The tools include
                                                                                industrial data-integration and -analysis
                                                                                algorithms to detect patterns in machine
                                                                                data and root-cause–analysis tools to deter-
                                                                                mine the corrective action to be taken.
                                                                                  Vibration, temperature, and pressure are
                                                                                just some of the parameters that can indicate
                                                                                equipment status and identify potential
                                                                                failures (Figure 1). Monitoring techniques
                                                                                are normally used on equipment such as
                                                                                compressors and pumps.
                                                                                  Because vibration is the most common
                                                                                symptom of imbalance, misalignment, and
        Figure 1: Vibration frequency analysis for fault detection (Image: Analog Devices)  other anomalies, predictive maintenance is






























                                                                                Figure 3: The iCOMOX kit
        Figure 2: Predictive maintenance (Image: Bosch)                         (Image: EE Times Europe)

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