PLM, Control Design
Siemens Digital Industries Software has signed an agreement with Germany-based Pro Design Electronic GmbH to acquire its proFPGA product family of field programmable gate array (FPGA) desktop prototyping technologies.
Industrial Internet of Things serves as backbone for other Industry 4.0 and smart manufacturing technologies, including artificial intelligence (AI), machine learning, augmented reality (AR), virtual reality (VR), digital twins, the digital thread, big data, analytics, and cloud and edge computing.
Digitalization of systems engineering helps transform existing processes and restructure for automation, increase product connectivity, meet new rules and regulations and optimize operations for uncertainties.
Standardization frameworks encourage more automation interoperability. Interoperability is trying to move from one or a few automation ecosystems into a wider world. See four levels of cybersecurity.
When lives depend on control system design (and even when they don’t), best practices matter. Here’s what I’d like control system designers to know.
Siemens and SAP announced a partnership designed to bring together their complementary software solutions for product lifecycle, supply chain and asset management applications.
Software, data management, and decreased wiring are among control panel design benefits, when digitalization is integrated in design.
Control Engineering's most clicked articles in September 2019 included stories about control system design shift, process control education, model-following control, the evolution of modern manufacturing, and more. Miss something? You can catch up here.
Interfaces and methods used in object-oriented industrial programming (OOIP) help deliver productivity of object-oriented programming (OOP) without the complexity. Because plants and equipment are assembled from objects, it’s logical that their control programming should be, too.
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.