Sep 24, 2024
Edge Computing, cloud computing, and flexible connectivity come together for advanced, efficient, and secure management in smart industries and cities.
What is Edge Computing?
Edge Computing, also known as distributed edge processing, is an information technology (IT) architecture that operates close to the source of data generation, instead of sending it to a centralized data center or the cloud. By carrying out this processing at the edge of the network, using devices such as sensors or Internet of Things (IoT) devices, faster responses are achieved, operational efficiency is improved, and bandwidth consumption is reduced. This technology is particularly valuable in sectors generating large volumes of data, such as smart factories and smart cities, where the real-time and historical processing of data must be swift in order to optimize processes and support decision-making.
What is Cloud Computing?
Cloud Computing is a technology that enables remote access to computing resources and data storage via the internet, removing the dependency on local hardware. This technology provides a wide range of cloud services, such as virtual servers, cloud storage, databases, networks, Software as a Service (SaaS), and data analytics, all accessible through online platforms.
Cloud Computing and Edge Computing are complementary technologies rather than standalone alternatives. Their combination is essential to meet the growing demands for connectivity, real-time processing, and scalability in an increasingly digitalized world.
Applications of Edge Computing in Industry 4.0
In the industrial field, Edge Computing enables enables real-time data processing close to its source, which is crucial for:
Monitoring and predictive maintenance of equipment.
Optimization of production processes.
Efficient supply chain management.
Enhanced security and surveillance.
For example, in the steel Industry, sensors installed in smelting furnaces can instantly analyze data to adjust parameters such as temperature and pressure. In manufacturing, smart production lines can adapt in real time based on local data analysis. Smart cities use Edge Computing to manage traffic, lighting, and public services more efficiently. In the AECO sector, this technology facilitates site supervision and smart building management.
What is the Internet of Things (IoT)?
The term IoT, or Internet of Things, refers to the interconnection of physical objects with the internet, using technologies such as Bluetooth, RFID (radio frequency identification), Wi-Fi, and other smart sensors. These are physical objects equipped with computing and connectivity capabilities. Common examples of IoT-enabled devices include smart televisions, connected security cameras, and smartwatches that collect data from their surroundings and users.
In the business and industrial field, IoT is reshaping key industries by enabling the integration of industrial sensors, monitoring equipment, and machinery to optimize processes, improve efficiency, and increase productivity. Below are some examples of how IoT is revolutionizing different sectors:
Manufacturing Industry:
IoT sensors in manufacturing allow real-time monitoring of equipment performance, optimization of predictive maintenance, and reduction of downtime. Real-time data collection and analysis enhance operational efficiency, enabling immediate production adjustments. Furthermore, IoT in manufacturing supports product traceability, improves quality control, and streamlines inventory management, resulting in higher productivity and reduced operational costs.
Steel Industry:
Connected IoT sensors continuously monitor critical parameters such as temperature and pressure during steel smelting and molding. This allows precise product quality control and optimized energy consumption. The Internet of Things also enhances supply chain management by tracking the movement of raw materials and finished goods. Additionally, the integration of IoT systems with artificial intelligence enables prediction and prevention of equipment failures, improving safety and lowering maintenance costs.
Machine Tool:
Embedded sensors in machine tools gather real-time data on their performance, allowing constant monitoring and early fault detection. This information facilitates predictive maintenance, reduces downtime, and extends the service life of equipment. IoT also optimizes machining processes by automatically adjusting cutting parameters to improve quality and operational efficiency. Moreover, IoT connectivity allows machine tools to be integrated into wider production systems, enhancing flexibility and responsiveness to market demands.
Smart Cities:
IoT sensors distributed throughout cities collect data on traffic, air quality, energy consumption, and waste management, among other factors. This information makes it possible to optimize traffic flow, reduce pollution, and improve energy efficiency. Smart lighting systems adjust intensity based on actual needs, saving energy. In addition, IoT enhances the management of public services such as transport, making them more efficient and reducing costs.
AECO (Architecture, Engineering, Construction, Operations):
IoT is transforming the AECO sector by providing real-time data throughout the entire lifecycle of buildings and infrastructure. In the design and construction phase, IoT sensors enable monitoring of project progress, worker safety, and material usage. During building operation, IoT facilitates the efficient management of systems such as HVAC, lighting, and security. Sensors gather data on building usage, allowing optimization of energy consumption and predictive maintenance. Furthermore, the integration of IoT with Building Information Modelling (BIM) enables more efficient asset management across their lifecycle, improving sustainability and lowering operational costs.
Connectivity and Advanced Data Management with TOKII
At IMMERSIA, we have developed TOKII, a digital twin platform that provides full connectivity and a centralized system for managing industrial plants and other complex environments. TOKII is designed to collect, process, and store large volumes of data generated by IoT devices and sensors, enabling businesses to monitor their infrastructure efficiently and in real time.
Our platform offers advanced data visualization through interactive dashboards, providing customized graphs and KPIs that support decision-making. It also enables data exploration in immersive environments through digital twins that integrate 3D plant navigation.
With Augmented Reality (AR) and Virtual Reality (VR) capabilities, users can interact with data in a more intuitive and detailed way, enabling simulations, remote maintenance, and process optimization. This combination of advanced visualization, connectivity, and immersive analytics boosts operational efficiency in industrial sectors such as manufacturing, AECO, steelmaking, and beyond.
Thanks to its multi-device API architecture, TOKII ensures seamless data transmission from any source and adaptation to various devices such as PCs, tablets, mobiles, or kiosks. This provides users with a panoramic and flexible view of their data, accessible from anywhere, guaranteeing agility in the management of industrial plants and other complex infrastructures.
If you would like to know more about our digital twin software, visit TOKII or request a DEMO.
