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Articles by Stone Shi
Proč je AI populární, ale v průmyslu se obtížně zavádí?
Pozornost světového výrobního průmyslu se soustředí na umělou inteligenci (AI) v naději, že tato technologická revoluce dokáže překonat úzká místa v efektivitě a přetvořit průmyslové prostředí. Průmyslová AI má dvě rozdílné stránky. Na jedné straně je nadšení vyvolané potenciálem úspor nákladů. Na druhé straně stojí technici v průmyslových podnicích, kteří k těmto snahám přistupují s opatrností. Proč implementace průmyslové AI postupuje pomalu?
Jak průmyslová AI třemi způsoby prohlubuje udržitelnost
V současnosti na rychle se měnícím globálním trhu plném příležitostí a výzev se staly technologie umělé inteligence (AI, zejména AI průmyslová) důležitým nástrojem, který pomáhá podnikům čelit různým výzvám v oblasti ekonomiky, dodavatelského řetězce, transformace energetiky a dalších oblastech. Společnost AspenTech patří mezi poskytovatele průmyslového softwaru využívajícího průmyslovou umělou inteligenci.
Time to replace a DCS with a universal control system? | Control Engineering
Learning Objectives See examples of how distributed control systems aren’t evolving quickly enough to meet the needs of process control applications, including two DCS challenges for modern process control. Understand how process control architecture design needs to return to core control system needs with the universal control system (UCS).
How to produce flexibly using mobile robots, machine vision | Control Engineering
Learning Objectives Review how mobile robots and machine vision can be used to help flexible manufacturing and intelligent manufacturing. Understand how mobile robot use can be flexible, modular and scalable. Learn about expanding the radius of flexibility with AI, smart technologies and mobile robots, using model-based control and iterative learning. Robotic and machine vision insights Mobile robots and machine vision can be used to help flexible manufacturing and intelligent manufacturing.
Users look for open industrial software to help in three ways | Control Engineering
Learning Objectives Understand the challenge and benefits of industrial digitalization and how to more effectively manage engineering and operational data. Learn three benefits of implementing digital enterprises with full lifecycle digital twins. Embrace AI to lead the innovative development of industrial software. Aveva China User Conference insights Challenges remain but benefits of industrial digitalization are strong.
Seen at CIIF: Industrial AI for automation, smarter robots
Learning Objectives Understand that industrial automation industry trends include artificial intelligence integration with robotics and review an example of how it works. Learn how industrial AI-based analytics is expanding with Siemens and Microsoft cooperation. Understand how employee-driven programs can be effective with proper communication and training to help ensure long-term success.
How AIoT leads innovation in the intelligent device industry
Learning Objectives Learn how can end-users enhance the intelligence of their production equipment. Understand what technologies will be relied on to support and lead the upgrades required by the intelligent device industry. Discover how traditional automation technology and emerging IT technology can empower the intelligent device industry.
How to augment process industry sustainability with automation, digitalization | Control Engineering
Learning Objectives Understand how industrial automation, software and services enable sustainability and digitalization. Learn how automation technologies and services are supporting China’s manufacturing by promoting localization. See examples of digitalization, industrial sustainability and how automation suppliers can help create value. Process automation sustainability insights Industrial automation, software and services enable sustainability and digitalization improvements.
Are you using the unified OT data layer to bridge the natural gap between IT and OT? | Control Engineering
Learning Objectives Review how OPC Foundation provides the OPC Unified Architecture (OPC UA) basic information model. Understand that a unified data layer for operational technology has five basic functions. Examine benefits that out-of-the-box unified operational technology data layer software can provide to OT, IT and cloud resources. Unified data layer insights OPC Foundation provides the OPC Unified Architecture (OPC UA) basic information model.
How to integrate process, digital technologies to increase petrochemical factory output | Control Engineering
Learning Objectives Understand how Shenghong Petrochemical and Honeywell collaborate on integrating digitalization and plant optimization control technologies to decrease manual operation and increase output. Consider how smart factory optimization includes digital construction and transformation of the plant lifecycle from the vertical application layers and using results in the design phase at other plants, dynamic iteration of connected factories.
Industrial cloud platform insights
Industrial cloud platform insights The tide of industrial Internet of Things (IIoT) is gradually receding. Who will be the last among hundreds of IIoT or industrial internet platforms? Siemens has integrated Mindsphere’s IIoT platform business into its Insights Hub (IIoT as a service solution) and stressed it will use this core of the IIoT ecosystem to better meet customer needs. This transition of Siemens Mindsphere differs from GE’s movement away from Predix a few years ago.
From wire and cable to digital transformation: Benefits for industrial customers | Control Engineering
Learning Objectives Understand the need for industry-specific help for designing, testing, validating and deploying end-to-end networking solutions. Learn how creating a bond for collaborative innovation helps deliver industrial communications to enable a more digital world. See ways expansion of industrial network technologies in China is meeting industry-specific needs.
Next generation development tools help equipment intelligence
Learning Objectives Understand how core components of traditional automation create challenges in today’s automation environments and often are lacking in modeling, data decoupling, web-based UI and programming-language support capabilities. Learn how new automation tools bring new value to old industries by adding design sense to HMIs with a style template and making way for integration of artificial intelligence capabilities for industrial automation.
Digitalization, localization help develop China’s process industries
Learning Objectives Understand how digitizing process industries requires unlocking the value of data. Learn how factory engineering design software helps along with local support and products. Covering operational technology and information technology (OT/IT), creating end-to-end industry solutions. Digitalization has many applications, especially in the consumer goods market. But for industrial applications, digitalization reforms existing production models.
Digitalization, open automation cuts commissioning time 30%, creates services
OEM digital transformation insights Manufacturing original equipment manufacturers can add value by providing service digitization for installation, repair, maintenance, remote service, spare parts and product improvement. OEMs can go to market more quickly with equipment and services by applying digital transformation, open standards and more intelligent controls, decoupling hardware and software and adding interoperability.
Solve intelligent manufacturing challenges in three dimensions
Learning Objectives Delta provides intelligent manufacturing, sustainability, with expansions, acquisitions, and integrated automation products. Enabling technologies include SCADA, motors, PLCs, machine vision, robotics. Insights on intelligent automation, manufacturing efficiency Delta, an automation manufacturer, says Industrial automation upgrades help manufacturing efficiency, sustainability goals. Digitalization with automation saves time and resources.
Industrial software utility, useability, future
Learning Objectives There’s a need to make industrial software easier and more useful to have it more widely used and accepted. A prominent developer of industrial is working to advance education, focus, support, collaboration around industrial software.
Modernizing SCADA vessel control systems with Ignition
SCADA Insights The Ignition SCADA platform has high availability and full suite of tools, including SCADA systems, I/O servers, firewall and router, and it also give support for most legacy and modern protocols. A message queuing telemetry transport (MQTT) modules was designed for Ignition to integrate data from OT to IT to have back up if the system ever disconnected due to a spotty connection.
Industrial 5G fieldbus in R15 enhanced mobile broadband
Learning Objectives Learn how first of the three parts of 5G can transmit layer 2 fieldbus information. Understand limits of 5G for industrial using R15. See advantages of embedding 5G layer 2 communications in layer 3 packets. Industrial 5G deployments, such as 5G for smart factories and 5G for steelmaking, have used commercial 5G, which is very different from industrial 5G technologies.
Demystify the newly-released open automation platform Original
Learning Objectives Learn what an open automation platform is. Examine how IEC 61499 makes programming independent of the underlying system equipment. Review the value can open automation platform bring to users.
Simulation capabilities are critical for operations, as well as design
Product changeovers that join the physical with the virtual Industry 4.0 is a term that describes data-driven, artificial intelligence (AI)-powered, networked “smart factories” as the harbingers of the fourth industrial revolution. One key aspect of data-driven operations is using simulation as a tool to optimize production, reduce downtime risks, and deliver the highest efficiency possible in industrial settings.
Digital field instruments accelerate petrochemical, process industries
Learning Objectives Learn how digitalization accelerates field instrument product innovation. Examine how instrument heartbeats, cloud platform open a new chapter of digitization. See how cloud platforms enable instrumentation applications and cybersecurity. A digital factory cannot do without many sensors to collect data. For petrochemical and other process manufacturing industries, field instruments are sensors.
From DCS to OCS: A change in process control system
Stone Shi is executive editor-in-chief, Control Engineering China. Courtesy: Control Engineering China Learning Objectives Examine attributes of an industrial optical bus control system (OCS)and its technological advantages. Identify OCS benefits. Look at OCS cybersecurity protections.
How industrial 5G supports the metallurgical industry
Learning Objectives Learn how metallurgy is a difficult environment for industrial wireless and wired communications. Review 5G wireless applications for metals and mining. Examine main types of industrial 5G applications. The metallurgical industry, among pillar industries in China, plays an important role in the national industrial economy. Metallurgy is a traditional industry with high energy consumption, pollution and high risks.
Embrace SaaS, reap benefits, says industrial software giant PTC
Learning Objectives Understand that PTC software-as-a-service capabilities are helping to transform the physical world with digital in 4 ways. See how PTC expansion of SaaS brings faster deployment, no patches, mobility. Hear PTC tell industry: Industrial SaaS problems are solved, get with it. With internet access via PC, tablet or mobile phone, just open a browser, and it’s possible to draw with professional computer-aided design (CAD) software without downloading installation files.
Open automation with plug and play
Learning Objectives Examine the development process of open automation: DCS, fieldbus, programming. Push for a higher level of industrial control system openness in a new era. Renew the journey toward more open automation using IEC 61499. Automation and controls are becoming more open and interoperable and standards O-PAS standard for control system architecture, time-sensitive networking (TSN) for Industrial Ethernet and IEC 61499 for programming.
Finding the return on investment in smart manufacturing, digital transformation
Learning Objectives Digital transformation is about advancing and uncovering new opportunities for sustainability, efficiency and productivity. The overall tactical objective in achieving digital transformation is creating a real-time operational control loop that manages based on information and analytics. An open, system-agnostic approach provides long-term values and lowers total cost of ownership (TCO) for the user.
How do you break the trap of IIoT development?
Courtesy: CFE Media and Technology’s New Products for Engineers Database, Advantech Learning Objectives Learn how industrial Internet platforms can be grouped into three main categories. See advantages of IIoT that focuses on field interconnections. Examine how IIoT can break the trap of industrial internet with industry expertise. Development of the industrial internet is in full swing.
How do you break the trap of IIoT development?
Courtesy: CFE Media and Technology’s New Products for Engineers Database, Advantech Learning Objectives Learn how industrial Internet platforms can be grouped into three main categories. See advantages of IIoT that focuses on field interconnections. Examine how IIoT can break the trap of industrial internet with industry expertise. Development of the industrial internet is in full swing.
Secure device onboarding for manufacturing supply chain
The manufacturing sector is becoming more interconnected as the Internet of Things (IoT) allows data to be transferred from many devices. IoT device security is critical, and configuring credentials, a process called onboarding, is a slow and tedious process. Until now, there has been no broadly supported industry standard for automated secure device onboarding.
Five steps for jumpstarting a successful IIoT program
Figure 5: Four qualities to look for in a technology partner. Courtesy: Fluke Corp. Recent world events have reinforced the need to accommodate remote management, as in being able to maintain business-critical machines with many maintenance and reliability professionals working away from the plant. As a result, numerous Cloud-based technologies that maintenance organizations may have viewed as “down-the-road” are now seen as much more urgent.
Safer, smarter and more productive electrical maintenance
Temperature on critical assets is typically monitored through periodic inspections that occur just a few times throughout the year on average. These are conducted through periodic (oftentimes bi-annual) thermography inspections by an in-house team or third-party contractor. However, these inspections are often performed while equipment is in a de-energized state, unless they happen to have infrared (IR) windows installed.
Researchers developing more efficient hydrogen-powered cars
Widespread adoption of hydrogen-powered vehicles over traditional electric vehicles requires fuel cells that can convert hydrogen and oxygen safely into water – a serious implementation problem. Researchers at CU Boulder are addressing one aspect of that roadblock by developing new computational tools and models needed to better understand and manage the conversion process.
Essence of digital enterprise: Three types of digital twins
Courtesy: Siemens Digital Industries, New Products for Engineers Database Learning Objectives Digital twins can be applied and networked throughout the product lifecycle. Significant increase in factory throughput and product launch time result from digital twin use. Digital is driving many changes in the manufacturing industries, and a major manufacturer and automation supplier is showing how it’s done.
Maintaining profit through strategic facility decisions
A comprehensive facility assessment can identify high-risk assets and strategies to help owners achieve maximum potential with cost-effective investments. In an ideal world, all equipment would be high performing, reliable, easy to maintain and efficient. Achieving these markers is a challenge, however. High-performing facilities rely heavily on effective teams and optimum performing equipment.
Six steps toward predictive analytics success
The journey toward smart manufacturing through digitalization can seem overwhelming when we find ourselves mired in too many parameters and variables to analyze and simply too much data. Big Data gets bigger and soon we are swimming in our own data lake! Often there are self-doubts as to the direction we are going, and we tend to have second thoughts about the end results. It starts to feel like we are boiling the ocean, especially if the results are not promising.
How robots help additive manufacturers add precision
Learning Objectives Robots increasingly facilitate additive manufacturing, which is allowing them to create larger parts more precisely. Recent advances in weld-wire additive manufacturing (WAAM) allows the creation of large parts with robotic assistance. Some manufacturers are improving robot precision and enhancing their performance in additive manufacturing. Robots increasingly facilitate additive manufacturing, enabling efficiency, precision, and the size of created parts.
Manufacturing digital transformation may start with consulting Original
Learning Objectives Digital transformation includesa large array of technologies and integration. Consulting firms and automation providers offer digital transformation consulting. Creating a roadmap for digital transformationcan increase probability of success. Everything will be digital in the future. IDC predicts more than 60% of global GDP will be digital by the end of 2022.
How to develop an asset maintenance strategy
Does your organization struggle to develop the right asset or equipment strategies and practices? Do you fight to get traction from the programs that can help build or improve existing strategies? Ask these basic yet often overlooked questions to help your teams improve and support the organization’s asset maintenance program. 1. What percentage of your assets are critical? How many have rankings assigned in our EAM/CMMS?
Edge computing, artificial intelligence power automation innovation Original
Stone Shi is executive editor-in-chief, Control Engineering China. Courtesy: Control Engineering China Learning Objectives Industrial edge computing and artificial intelligence (AI) contribute to automation innovation and effectiveness. Automation vendors include edge computing and AI among recent offerings. Edge computing and artificial intelligence (AI) are helping to advance industrial computing and machine learning to increase factory floor applications.
LDC Focus: Spotlight on DTE Energy
As part of DTE Energy’s commitment to reduce its carbon footprint, the Michigan utility recently announced that DTE Gas will reduce greenhouse gas emissions (GHG) — from procurement through delivery — to net zero by 2050. This most recent announcement from the gas utilitybuilds upon several previous DTE Energy announcements focused on lowering emissions and helping drive the fight against climate change. This gas announcement outlines a unique approach within the industry.
DIY fitter developed to improve mask filtration Original
In early-fall 2020, College of Engineering student employees assembled Badger Seal mask fitters outside the Grainger Engineering Design Innovation Laboratory in Wendt Commons. Courtesy Renee Meiller, University of Wisconsin-Madison Whether homemade or commercially manufactured, breathable cloth and disposable face masks fit everybody differently, leaving gaps at the top, sides, bottom – or any combination thereof – that could allow COVID-19 virus particles to escape.
Designing a microgrid system: Li-ion versus gas generator
Microgrids using multiple sources of generation have the potential to add resiliency to both the grid and to customer sites. Additionally, if low carbon sources of electrical generation are used such as solar photovoltaics (PV), these microgrids can significantly reduce the energy carbon footprint (see Figure 1). However, the solar resource is variable and intermittent, requiring that other sources of generation, or energy storage, are used for a complete and resilient design.
COVID-19 accelerates the digitalization of enterprises Original
Stone Shi is executive editor-in-chief, Control Engineering China. Courtesy: Control Engineering China Learning Objectives COVID-19 continues to change how factories work. Manufacturing digital transformation is accelerating innovation, agility and adaptability. Factory labor shortages can be helped with automation, 5G, smart factories.
COVID-19’s impact on Chinese automation markets Original
Learning Objectives Limited impacts of COVID-19 were seen on first-quarter results in China, though second and third quarters may be more apparent. Automation users may expand market advantages, competitiveness, and services. The outbreak of coronavirus already has caused a huge impact on the global economic and manufacturing industry.
Automation approaches to use when market growth slows
Fast-growing areas for automation, according to analysts include edge computing, cloud computing, data analysis, machine learning and industrial network security. Despite the slower growth in some other areas of automation, these emerging technologies are growing at double-digit rates. Global markets are slowing growth, a challenge for automation industries in every region, and trade frictions and an unstable geopolitical environment also are affecting industries in some important areas.
Digital twins, engineering future of automation
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization. Many enterprises today are talking about the concept of “digital twins.” Among them, the enterprises engaged in digital solutions such as product lifecycle management (PLM) tend to be the leaders and extend it into automation. Some people even say digital twins are an indispensable form of technology for Industrial Internet of Things (IIoT) applications.
Digital twins, engineering future of automation
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization. Many enterprises today are talking about the concept of “digital twins.” Among them, the enterprises engaged in digital solutions such as product lifecycle management (PLM) tend to be the leaders and extend it into automation. Some people even say digital twins are an indispensable form of technology for Industrial Internet of Things (IIoT) applications.
Digital twins, engineering future of automation
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization. Many enterprises today are talking about the concept of “digital twins.” Among them, the enterprises engaged in digital solutions such as product lifecycle management (PLM) tend to be the leaders and extend it into automation. Some people even say digital twins are an indispensable form of technology for Industrial Internet of Things (IIoT) applications.
Is automation going too far?
International: Just because something can be automated doesn’t mean it should. Pay attention to the details. High-profile mission-critical automation applications and smaller-scale control systems should optimize reliability, safety and efficiency. Two recent events have created industry debate about appropriate applications of automation. The crash of Ethiopian Airlines’ Boeing 737 Max 8 took place on March 10.
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