Machine learning (ML) applications are evolutionary by nature, so it is important to understand how they work and keep looking for new ways to apply them to deliver an automation advantage.
Long before Industry 4.0 and cloud-connected architectures became possible, innovators championed PC-based technologies for industrial automation.
HMI software should mix elements of web design and controls engineering to create effective operator interfaces for industrial displays and mobile devices of all sizes.
Virtual design tools and automation software intersect to save time and costs in machine commissioning so engineers can spot potential flaws before implementation.
Some applications require data acquisition strategies without cloud connectivity, but they can still benefit from advanced analytics technology.
Cover Story: There are many tools for capturing the potential value Big Data and the Industrial Internet of Things (IIoT) provide, but companies need to know what kind of information they want and how to gather it securely.
For managing servers and other applications, virtualization has become a major tool in the IT space that provides huge benefits; core-isolation can minimize the amount of physical hardware that must be purchased as well as provide additional automation benefits to users.
Modern human-machine interface (HMI) solutions can benefit from automation technology (AT) and information technology (IT) convergence solutions.
PC-based control systems are at the front lines of automation technology and information technology convergence (AT/IT) as businesses find ways to funnel data into a useful, actionable form designed to empower decision makers as they look to stay competitive.
Cloud: Industrial Internet of Things (IIoT), Industry 4.0 applications, and basic electronic services are moving from local servers into the cloud, using Internet-based software as a service (SaaS). Machine builder original equipment manufacturers (OEMs) and equipment end users use cloud-based services to monitor machines remotely. See four ways to launch IoT project.
Manufacturing environments are seeing wisdom in adopting smartphones, tablets, and wearable devices, offering faster access to critical information and problem-solving applications. This is a major subtopic of discussion within Industrial Internet of Things (IIoT) and Industry 4.0 circles.
Software upgrades: Industrial software users should take advantage of new features and innovations without subscribing to costly annual software maintenance contracts or paying for each individual software version release. With less expense and hassle, software manufacturers can increase customer satisfaction and loyalty and nurture innovation.
Cover story: Industry 4.0 and Industrial Internet of Things (IIoT) are enabled with connectivity to and from devices (from a sensor to a large-scale control system), data, and analytics. Sensors and systems need connectivity with a greater network to share data; analysis allows people to make informed decisions. Industry 4.0 is working for German kitchen manufacturer, Nobilia. Ask three questions on the way to a smarter factory.
Machine architectures require many field devices. For easier system design, engineers should select a core control platform that minimizes complexity, with a unified software platform and network. More streamlined hardware and networking architectures are easier to implement, support, and maintain.