Quais são as tendências e tecnologias emergentes em automação industrial que você está animado?

Artificial Intelligence and Machine Learning (ML) Integration Collaborative Robots (Cobots) Digital Twin Technology Edge Computing 5G Connectivity Cybersecurity for Industrial Automation

Using AI in manufacturing means using data to make actionable decisions faster and more accurately than a human can. There are two specific areas where this makes much sense: forecasting and understanding anomalies or outliers. The manufacturing and automation industry probably has the most amount of unused data. Think of using all the data that your SCADA provides and running it through an AI-operated ML algorithm. The insights generated for maintenance and production can be revolutionary for industries.

I'm thrilled about the potential of Digital Twins, AR, and VR in the world of Industrial Automation. These technologies aren't just buzzwords—they're key players in driving complete Industry 4.0 transformation and automation. Imagine this: Digital twins, AR, and VR all work together to create a digital copy of assets. This digital replication isn't just for show—it's a game-changer. It helps organizations and their teams truly grasp the ins and outs of their assets. This deeper understanding paves the way for smarter, data-driven decisions that can transform the way we work and automate processes. It's not just innovation; it's a revolution in the making.

These keep me up at night: Predictive Maintenance: AI analyzes sensor data to predict equipment failures, reducing downtime and maintenance costs. Collaborative Robots (Cobots): AI enhances cobots' ability to work safely and efficiently alongside humans. Digital Twins: AI-powered virtual replicas of assets enable real-time monitoring and optimization. Autonomous Mobile Robots (AMRs): AI allows AMRs to navigate and operate independently, improving logistics and material handling. AI-Enhanced Quality Control: AI detects defects faster and more accurately, ensuring higher quality. Smart Factories: AI integrates with IoT for real-time process optimization and efficiency.

Emerging technologies in industrial automation, especially AI and machine learning, are transforming industries. For instance, General Electric uses AI-driven Predictive Maintenance to monitor jet engines, predicting failures and reducing downtime. BMW employs AI-powered Quality Control systems to detect defects on the production line, ensuring high product quality. Siemens uses Process Optimization through ML to streamline manufacturing processes, cutting costs and improving efficiency. Cobots at Ford assist workers in assembly lines, handling repetitive tasks while humans focus on complex work. These real-world applications highlight how AI and ML are driving efficiency, innovation, and quality in industrial automation.

I Chair the Institution of Engineering and Technology (IET) Manufacturing Network and am putting together an event (probably a webinar) to address Emerging Technologies in Factory Automation, looking, potentially, at Sensors (smell, vision), AI, 5G++ Networks, etc. We can also look at others. There would be a Keynote Overview followed by 2/3 Case Studies. I would appreciate any help in identifying speakers for this event, particularly the keynote, where I am looking for someone who can give a broad overview of the subject with a vision of what the future might look like. Please either post or message me with any suggestions.

I've been working with ChatGPT a lot lately to see how well I can focus it in on being an Automation Application Engineer. It isn't there, yet, but is great at "book smarts." I'm excited though...and somewhat scared...that at some point it will be able to fill in all the "experiential gaps" that make AEs so important to our industry!

Emerging trends in industrial automation, like the integration of AI and machine learning, are revolutionizing predictive maintenance and process optimization. The rise of collaborative robots (cobots) is enhancing human-robot collaboration, boosting safety and efficiency. Advancements in IoT are enabling more interconnected and intelligent machinery, leading to smarter factories. The adoption of 5G/5GE and soon 6g technology is expected to significantly improve communication speed and reliability in industrial settings. These innovations promise to drive productivity, reduce costs, and increase flexibility in manufacturing.

There are business processes that have been flawed and inefficient for so long now that we don't even think to apply automation, because the old way is too complicated and difficult to change. I'm excited about those processes being highlighted by AI and ML and provided optimized, automated, adjustments. Corporate operations will be so different and so much better in the very near future thanks to these technological advancements.

Recently I've been blown away by the AI adoption in procurement processes. Our team recently showcased accurately interpreting and categorizing purchase orders entered in multiple languages simultaneously—including Serbian, Spanish, and French. What used to take multiple individuals or several visits to translation websites now takes mere seconds. This is a game-changer for global procurement processes, ensuring precise categorization and streamlined operations.

Cloud and edge computing are transforming industrial automation, driving efficiency and adaptability in manufacturing. Edge computing processes data closer to the source, enabling real-time decisions for faster anomaly detection and predictive maintenance—just as Tesla’s factories have minimized downtime with localized data processing. Edge also enhances security by reducing data transmission. Meanwhile, cloud computing offers scalable storage and advanced analytics, perfect for optimizing global operations. A hybrid approach, combining cloud and edge, is becoming the norm, supporting innovations like AI-powered quality control, leading to smarter, more responsive manufacturing environments.

D'après mon expérience, beaucoup d'usines y pensent mais n'y sont pas encore rendu. Il reste encore du travail à parcourir pour atteindre l'edge computing 🧑🏻💻

Very early days, mostly cloud computing and edge computing are being used for data analytics and store historical process data from industrial automation systems. So for now real-time data analysis and decision-making is not feasible for various reasons. Non critical applications are definitely very useful for such implementations. A good example would be, cloud-based systems can be used to monitor energy consumption in real-time and identify areas where improvements can be made.

Cloud-based solutions for data storage, analytics, and collaboration in industrial settings. Edge computing is the revolutionary technology which processing data closer to the source to reduce latency and enhance real-time decision-making in industrial processes.

That all software applications are migrating to the cloud, no one has any doubts about that anymore. However, what is still most concerning is the issue of CyberSecurity and the latency of communication between on-promise systems and the Cloud. One of the biggest problems is related to infrastructure, as investment in some places is still precarious and this ends up generating this distrust of these new technologies.

Cloud and edge computing are revolutionizing industrial automation by enhancing computing power, storage, and connectivity. Cloud computing enables real-time data access and analysis from various sources, aiding in decision-making. Edge computing, on the other hand, processes data locally, reducing latency and security risks for efficient operations. The integration of cloud and edge computing enables real-time monitoring, control, and optimization of industrial processes like energy management and production planning. This leads to improved efficiency and cost-effectiveness, crucial in today's competitive market. Embracing these technologies unlocks new capabilities and drives innovation.

Edge computing involves processing data closer to its source, such as on devices or at the edge of the network, rather than in centralized data centres. This approach reduces latency, improves response times, and enhances reliability in industrial automation systems, particularly in environments with limited connectivity or high data volumes.

Cloud and edge computing are significantly enhancing industrial automation by offering greater computing power and storage. Cloud computing enables the aggregation and analysis of vast amounts of data from various sources, including sensors and cameras. In contrast, edge computing processes data locally, which reduces latency and minimizes bandwidth and security concerns. Together, these technologies support real-time monitoring and optimization of industrial processes, such as energy management, supply chain coordination, and production planning, leading to more efficient and responsive operations.

Cloud and edge computing are transforming industrial automation by offering enhanced computing power, storage, and connectivity. Cloud computing enables the processing and analysis of vast data from diverse sources like sensors and databases, facilitating large-scale data-driven decision-making. Meanwhile, edge computing processes data locally, which reduces latency, conserves bandwidth, and improves security. Together, these technologies support real-time monitoring, control, and optimization of industrial processes such as energy management, supply chain operations, and production planning, driving greater efficiency and responsiveness in industrial environments.

Cloud and edge computing are revolutionising industrial automation by enabling real-time data processing at unprecedented scales. Cloud computing offers scalable resources and centralises data handling for global accessibility, while edge computing brings computation closer to the source, reducing latency and improving response times. In my experience, deploying edge devices in manufacturing lines significantly improved decision-making speed and reduced network load. This combination facilitates smarter, faster, and more efficient industrial operations, paving the way for innovations like predictive maintenance and AI-driven insights.

Robotics and cobotics are thrilling advancements in industrial automation, promising streamlined operations, and enhanced collaboration. Robotics involves the use of robots to perform tasks traditionally done by humans, increasing efficiency and safety. Cobotics focuses on collaborative robots working alongside humans, enhancing teamwork and productivity. Both technologies streamline operations, reduce manual labor, and improve workplace safety. Embracing robotics and cobotics can revolutionize industries by automating repetitive tasks and allowing workers to focus on more complex and creative endeavors. Their capacity to boost productivity and efficiency makes them crucial in shaping the future of industrial automation.

Robots in industrial automation offers you to upscale your facilities and be more conscious of human efforts by collaborating with robots. The working in tandem of both gives the operations to go freely and improve them, increases safety and decreases error and downtime. Robotics with software creates a robust system!

Las máquinas de Panotec para fabricar embalajes a medida y a demanda,... ¡son una pasada! Imagína: ¡puedes crear cajas de cartón personalizadas al instante!. Olvídate de los stocks de cajas pre-fabricadas compradas por miles, de los diseños aburridos y de los malgastos de material. Con estas máquinas, solo necesitas unos segundos para tener el embalaje perfecto para tu producto. Eso no es todo, ¡hay más!. Puedes personalizar el tamaño, la forma y hasta el diseño del embalaje. Y todo esto en tiempo real, sin esperas ni costes adicionales. Y lo mejor de todo es que son rápidas y eficientes, lo que te permite ahorrar tiempo y dinero. En mi opinión, este tipo de tecnología es el futuro de la automatización industrial.

Advanced robotics for tasks beyond repetitive and dangerous jobs, enhancing efficiency and safety. Collaborative robots working alongside humans in shared workspaces.

Cobots are making it possible to imagine automation for repetitive/unsafe tasks with constraints related to budget, space, flexibility, etc. Also, robots are getting smarter with the adoption of AI. Dawn of humanoid robots has already started in warehousing and soon we can see some innovations in the traditional robotic arm solutions in the manufacturing as well.

Indeed sir ji. Robotics and other way of Automating the things can be proved to be beneficial for humans.. depends how it has been used

Robots and cobots are increasingly present within production lines, carrying out increasingly complex and repetitive work. Many people believe that these resources came to eliminate jobs. In part, for sure, but it has also reduced the health problems that employees acquire as a result of repetitive work. To minimize this effect, training is a solution. The increasing knowledge of new technologies enables these employees to relocate in the job market and evolve in their careers.

Robotics and cobotics are driving significant advancements in industrial automation, expanding the capabilities and applications. Robotics, excels in handling complex tasks like welding, assembly, and picking with precision and efficiency. Cobots, enhance productivity by complementing human skills in tasks such as packaging, inspection, and loading. The integration of both into industrial automation streamlines operations. This not only improves workplace safety but also enhances ergonomics and efficiency. Robotics and cobotics represent exciting trends in industrial automation, offering opportunities to improve productivity, safety, and efficiency. Embracing these technologies enables businesses to stay competitive and innovative.

Robotics and collaborative robots (cobots) are being deployed across various industries to automate repetitive tasks, increase productivity, and improve workplace safety. Advancements in robotics technology, including increased dexterity, mobility, and autonomy, are expanding the range of applications for industrial automation.

5G will provide high-speed, low-latency connectivity for improved communication between devices and systems in industrial environments. Integration of IoT (Internet of Things), AI (Artificial Intelligence), and Big Data analytics to create smart, interconnected manufacturing systems. Digital twins for virtual representations of physical systems, enabling better monitoring and optimization.

IoT excites me the most while I look into automation in the Indian manufacturing industry. Why? - We are finally at the juncture where technology adoption in the MSME sector is possible. - Refined technical solutions are coming up in the market. - It has practical, sensible ROI for user applications, e.g., energy or equipment performance monitoring. - It can be implemented as a stand-alone technology to offer benefits rather than going for the holistic IoT integration at the plant level. - India, as a country, is used to digitizing most things we do. Going ahead, IoT solutions will be standard in most equipment; the ones not doing it will struggle immensely.

Estou empolgado com as tendências em automação industrial, especialmente com o avanço do IIoT (Internet das Coisas Industrial). A integração de sensores e dispositivos conectados está revolucionando a eficiência operacional. A inteligência artificial e a análise de dados em tempo real estão tornando a automação mais inteligente e adaptável. A interoperabilidade entre sistemas é uma promessa fascinante, permitindo uma produção mais ágil e personalizada. Essas tecnologias estão moldando um futuro onde a automação industrial não é apenas eficiente, mas também altamente flexível para se adaptar às demandas em constante evolução

I am excited to see what industrial 5G will being to the automation world. With promises of higher bandwidth (250 MBPS at least in theory), high user density of at least 1 million devices in 1 square kilometer and latency as low as 0.5ms for both Uplink and Downlink 5G is here to change the way things are done in the industrial world. Especially for industries looking for cost savings, they can jump on to public 5G to use existing public infrastructure and reduce implementation costs. But for the bigger players there is also private 5G for challenging applications. It will be interesting to see location services as well delivered via 5G.

It’s clear that connectivity will undergo considerable improvements. Often, control systems don’t receive as much attention as IT systems in terms of Cybersecurity and it’s crucial to ensure that these systems possess robust cybersecurity measures.

IoT technologies allow for the connection of devices, sensors, and equipment within industrial environments, enabling real-time monitoring, data collection, and analysis. IoT facilitates better decision-making, predictive maintenance, and remote management of industrial assets.

Within an automation system in companies, communication between devices is extremely important, because if data that comes from a field device is not reliable, when this data is transformed into information, what will be the action of a manager? ? Investment in communication networks must be made in the same way as choosing Controllers, or PLCs and software for your factory. IoT and 5G technologies have arrived to break barriers in the proprietary network protocols of some manufacturers. Communication must be universal, as must automation.

IoT and 5G are revolutionizing industrial automation by improving connectivity and interoperability. IoT networks devices, sensors, and actuators for data collection and transmission. 5G offers faster speed and lower latency, enabling seamless communication. These technologies enable smart factories where machines, systems, and people coordinate efficiently. They also support remote operation and maintenance of industrial assets like pipelines and drones. Integrating IoT and 5G enhances productivity and efficiency in industrial processes. In conclusion, IoT and 5G present exciting opportunities for innovation in industrial automation. Leveraging these technologies enables businesses to achieve greater connectivity, agility, and efficiency.

The IIoT (Industrial Internet of Things) is a networked environment integrating cyber-physical systems, industrial devices, and the cloud to maximize capabilities. It enables smart machines to autonomously access and use data, making real-time decisions to optimize the business value chain. Benefits include improved operational efficiency, better analytics, enhanced safety, increased automation, reduced human error, and greater collaboration. 5G, developed for the IoT era, connects devices for both daily and industrial use with enhanced mobile broadband, ultra-reliable low latency, and massive machine-type communications, supporting over 1 million devices per km² and enabling long battery life for IoT sensors.

IoT and 5G are advancing industrial automation by improving connectivity and interoperability. IoT connects devices and sensors to gather and share data, while 5G provides faster speeds and lower latency. Together, they enable smart factories with seamless machine and system communication, and support remote operation and maintenance of assets like pipelines and drones, enhancing efficiency and control.

Digital twins are virtual replicas of physical assets or processes. They enable simulation, visualization, and analysis of real-world scenarios, allowing for optimization and predictive maintenance. Digital twins are becoming increasingly sophisticated and are expected to play a significant role in industrial automation. AR and VR technologies are being leveraged in industrial automation for training, maintenance, and remote assistance purposes. These technologies enable immersive experiences that enhance worker skills, reduce downtime, and improve overall operational efficiency.

digital twins and AR/VR are pushing the boundaries of what’s possible in industrial automation. A digital twin is a virtual replica of a physical system, allowing engineers to simulate and test different scenarios without disrupting actual operations. I’ve seen how companies use digital twins to optimize production processes, while AR/VR is helping with training and maintenance. AR glasses, for example, allow technicians to visualize machine components in real-time, making repairs more efficient and reducing errors.

C'est une excellente amélioration pour l'ère industrielle ✨ À l'heure du changement de série rapide, de la fabrication "sur mesure", il y a besoin de beaucoup d'adaptabilité des lignes de fabrication.

AR for providing real-time information to workers, improving training, and aiding in maintenance tasks. VR for virtual simulations of manufacturing processes and training scenarios.

New projects are always challenging. A cost forecast is previously made for a new plant, for example, but in the end this value may end up exceeding the budget and the project may end up being abandoned. With Digital Twin technology, in addition to optimizing existing processes, it can also help in the creation of new process designs and give us greater certainty about final costs. Simulating the operation and maintenance of these systems. In relation to AR/VR, we were able to create hypothetical situations for decision-making in an operation in emergency situations and thus mitigate risks in relation to people and the environment, and train operators to make faster and more accurate decisions.

Emerging trends and technologies in industrial automation, particularly in the distribution automation sector within the energy industry, are transforming how we manage and distribute power. Here are some of the most exciting developments: 1. Smart Meters: These provide real-time data on energy consumption, enabling better demand management and energy efficiency. 2- Grid Management: AI and ML algorithms can optimize grid operations, improve fault detection, and enhance decision-making processes. 3-Demand Response: predict and manage energy demand, balancing load and supply more effectively. 4- Decentralized Energy Resources (DERs)

Digital twins and AR/VR technologies are transforming how we interact with industrial automation systems. Digital twins create virtual replicas of physical systems, allowing for real-time simulation and optimization. AR/VR overlays or replaces real-world views with digital environments, enabling immersive design, testing, and training experiences. These technologies help visualize complex processes, simulate scenarios, and provide hands-on guidance for operators, enhancing both the efficiency and safety of industrial operations. They offer powerful tools for both development and operational support in industrial settings.

Digital twins and AR/VR are revolutionising industrial automation by creating virtual replicas and immersive environments. These technologies enable real-time monitoring, simulation, and troubleshooting of industrial processes, enhancing operational efficiency and reducing downtime. For instance, digital twins allow engineers to predict failures and optimise performance before implementing changes in the physical world. In a relatable example, it's akin to test-driving a car in a virtual city, ensuring everything functions perfectly before hitting the road. Such innovations lead to smarter decision-making and proactivity in automation.

Digital twins and AR/VR technologies revolutionize industrial automation by providing innovative visualization and interaction capabilities. Digital twins are virtual replicas of physical systems, mimicking their behavior for simulation and optimization. These tools streamline system design, testing, and optimization in industrial automation. They simulate various scenarios, aiding decision-making and process improvement. Moreover, AR/VR assists operators with instructions and real-time guidance, enhancing productivity and safety. In conclusion, digital twins and AR/VR enhance efficiency and innovation in industrial automation. Leveraging these technologies optimizes decision-making and operational excellence.

As plant complexity increases, achieving KPIs and targets requires more advanced approaches. In process industry applications, the ability to leverage technology for faster, better decision-making is crucial for superior results. Digital Twins technology offers the solution. A digital twin is a virtual representation of a human, device, system, or process, mirroring its actual performance and historical data. By simulating these entities to forecast future performance, digital twins enhance agility and facilitate informed decision-making. They aid in maximizing safety, reliability, and profitability while improving operational efficiency and providing insights for product enhancement.