Electricity and Control October 2020

INDUSTRY 4.0 + IIOT : PRODUCTS + SERVICES

Extracting value from factory floor data

As the implementation of Industry 4.0 and IIoT continues to grow, a huge amount of data becomes available: ma- chine data, data from the production process and data relating to the manufactured product – Big Data from the factory floor. Data is easily collected and stored, but in many cases the data pipeline stops there and little value is extract- ed from it. The data pipeline is often not completed in a way that enables the right people to gather value from it. This is a challenge. Just collecting and storing data is not enough to benefit the owner, or to monetise investments made in Industry 4.0 and IIoT infrastructure. Getting maximum value out of the data and keeping an overview of data streams goes beyond standard statistical methods and tooling. Manual analysis and the creation of dashboards and reports can become complicated and they do not always show the right information at the right time, in the right way, to enable maintenance technicians, machine operators, or plant engineers to see at a glance what is going on and to be able to act on that. The routines implemented in a standard machine controller to observe the production process can detect current errors and problems but often not future problems, as the controllers might not be equipped to combine all available information and analyse it. Most organisations are familiar with information tech- nology (IT), but in the context of its relationship to opera- tional technology (OT), IT refers to the application of net- work, storage, and compute resources to the generation, management, storage, and delivery of data throughout and between organisations. OT related hardware and software is historically de- signed to do specific things: control heat, monitor me- chanical performance, or trigger emergency shutoffs, for example. Typically, this is done through industrial control systems and supervisory control and data acquisition. While IT and OT have historically functioned as sep- arate aspects in most businesses, IT-OT convergence is

changing that. Because IoT technology is taking assets not typically connected to the internet – such as assem- bly line machinery – and bringing them online, enterpris- es can now create new efficiencies by applying the intel- ligence of IT to the physical assets of OT systems. Turning data into useful information is best done in collaboration between data scientists, who know how to tame the data, and domain experts in the manufacturing process, who know the story behind the data. Once data is transformed into information, solutions can be devel- oped to deliver value from it. Industrial data science is a fairly new discipline and there is no one-size-fits-all solution. Each application needs tailored data analysis and modelling to obtain the best results. Data scientists at Omron follow a standard approach, as shown in the figure above, to obtain the best project results and manage expectations. The ap- proach is based on the CRISP-DM model (Cross-Indus- try Standard Process for Data Mining) which is widely used. This process provides for valuable information to be extracted from multiple data streams, analysed and presented in an accessible way. For more information contact Omron Electronics. Tel: +27 (0)11 579 2600 Email: info_sa@omron.com Visit: www.industrial.omron.co.za The data mining process provides for valuable information to be extracted from multiple data streams. in real-time clock. With its 100 MB onboard memory, the PR 4512 can log more than 2.75 million data points. For example, users can record 30 days of process data at one-second intervals. This makes it especially helpful for preventive maintenance. Real-time process data can be analysed easily on- site by uploading it to an iOS or Android device. Off-site, users can view the data in .csv format for convenient analysis on a PC. For more information contact WIKA Instruments Tel: +27 (0)11 621 0000 Email: sales.za@wika.com Visit: www.wika.co.za

Clip-on indicator with Bluetooth and data logging

The new clip-on indicator monitors and logs process values in real time.

WIKA has introduced the new PR 4512 clip-on Bluetooth- enabled data logging and configuration tool for all PR 4000 and 9000 devices. This enables users to monitor

live process values and diagnostic information on an iOS or Android device running the free PPS application – or to monitor these directly on the PR 4512 display. The advanced data logging function in- cludes time-stamped events using the built-

8 Electricity + Control OCTOBER 2020