INDUSTRIAL INTERNET of THINGS (IIoT): LA TECNOLOGÍA que está CAMBIANDO las INDUSTRIAS para SIEMPRE 🏭

Welcome to WoS! 🦋 In this episode, we explore how the Industrial Internet of Things (IIoT) is leading a true digital revolution in industry. In recent years, the digital transformation of industry has taken a giant leap forward, driven by the IIoT — a technology that connects machines, sensors, and intelligent systems to optimize processes, enhance safety, and boost real-time efficiency. In this episode of WoS, we present 5 scientific studies that reveal how IIoT is revolutionizing the future of industry. Let’s get started! 🔹 Study #01: “Transforming industrial automation: voice recognition control via containerized PLC device” Principal Investigator: Dr. Lukáš Beňo Institution: Slovak University of Technology in Bratislava Country: Slovakia Summary: The team developed a system that enables voice control of industrial machines by combining containers, edge computing, and PLCs. This innovation, aligned with Industry 5.0 principles, is secure, scalable, and adaptable to both real and virtual environments. Source: https://www.nature.com/articles/s4159... 🔹 Study #02: “Modeling of Bayesian machine learning with sparrow search algorithm for cyberattack detection in IIoT environment” Principal Investigator: Dr. Faten Khalid Karim Institution: Princess Nourah bint Abdulrahman University Country: Saudi Arabia Summary: The team developed an intelligent system for detecting cyberattacks in connected industrial environments. By combining AI techniques, a sparrow-inspired optimization algorithm, and a Bayesian Belief Network, they achieved high accuracy in threat detection. This solution optimizes data, identifies complex attacks, and strengthens IIoT security in highly digitalized factories. Source: https://www.nature.com/articles/s4159... 🔹 Study #03: “Computer vision and deep transfer learning for automatic gauge reading detection” Principal Investigator: Hitesh Ninama Institution: Devi Ahilya University Country: India Summary: The team developed an AI and computer vision-based system to automate the reading of analog gauges. Using convolutional neural networks and deep transfer learning, they evaluated models like VGG19, InceptionNet V3, and DenseNet169—the latter being the most accurate and robust. The solution enhances safety, efficiency, and accuracy in industrial settings still reliant on manual readings. Source: https://www.nature.com/articles/s4159... 🔹 Study #04: “Development of a novel virtual reality-enabled remote monitoring device for maintenance of cathodic protection systems on oil and gas pipelines” Principal Investigator: Dr. Chika Edith Mgbemena Institution: Nnamdi Azikiwe University Country: Nigeria Summary: The team developed a smart, low-cost system that combines IoT and virtual reality to monitor pipeline corrosion protection in real time. It uses an Arduino and the ThingSpeak platform to measure pipe-to-soil potential, along with an immersive VR environment to visualize pipeline status. Its accuracy, validated against traditional methods, makes it an effective, safe, and accessible tool for preventing critical pipeline failures. Source: https://www.nature.com/articles/s4159... 🔹 Study #05: “PLC based laser scanning system for conveyor belt surface monitoring” Principal Investigator: Dr. Ranran Wang Institution: Shandong Agricultural University Country: China Summary: The team developed an automated system that integrates PLC, cameras, an infrared laser, and AI (YOLOv7) to detect faults in conveyor belts in real time. It operates effectively even in harsh industrial environments, with near-100% accuracy. Beyond detection, the system can trigger alarms or stop the belt and enables predictive maintenance, improving operational safety and efficiency. Source: https://www.nature.com/articles/s4159... Your time and support are essential for us to continue exploring and sharing the fascinating world of science together—thanks! ✨ See you in the next episode, take care! 🚀 -------------------------------------------------------------------------- 👇🏻 Chapters: 00:00 - Intro and theoretical framework 01:12 - Welcome by Javi 02:15 - Study No. 1: Voice-controlled machine operation using PLCs 04:33 - Study No. 2: Breakthrough in cybersecurity for IIoT 07:08 - Study No. 3: AI and computer vision for reading analog meters 09:37 - Study No. 4: IoT and VR for monitoring corrosion protection in pipelines 11:59 - Study No. 5: AI, lasers, and cameras for detecting faults in conveyor belts 14:07 - Outro, next program, and farewell -------------------------------------------------------------------------- Connect with us 😉 📢 WoS WhatsApp Channel (ENG): https://whatsapp.com/channel/0029VazZ... 💼 LinkedIn:   / jjaira   📸 Instagram:   / worksofscience