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Industrial technology is essential in mass, large-scale production, and is present in the manufacture of most items we use in our daily lives, from processed food to vehicles and electronics. Various types of industrial technology, such as automation and data processing, help make these processes more efficient. In this case, efficiency means cost reduction and higher productivity. In this article, we will discuss the concept of industrial technology, its applications, and how artificial intelligence (AI) is also present in the sector. ALSO READ: • Find out how artificial intelligence applied to industry works
• Artificial intelligence and machine learning: understand now!
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What is industrial technology?
Industrial technology is any technology used primarily for the engineering and manufacturing of goods. Being also a career area and field of study, industrial technology requires a general understanding of technologies, management skills, and the ability to combine both qualities to solve different problems and streamline the production line. All large-scale manufacturing industries use industrial technology, from food production to the aviation or construction sector. It works with technical systems, production processes, and human work environments, involving the understanding of different networks and diagnosing their problems and inefficiencies. The work environment in industrial technology typically involves working in factories, warehouses, or other on-site locations, rather than in an office. Industrial technology has several benefits, such as cost reduction, increased productivity, and greater precision and quality in processes. With the ever-increasing advancement of industrial technology, its scope can involve all industrial segments.
5 types of industrial technology
As industrial technology applies to every type of technology used in the manufacture of goods, the term can become very broad. Here, we specify some of the types of industrial technology:
Automation
Automation refers to systems that function independently of human operators. This can include many things, such as a machine equipped with sensors, performing a single task in production, to a completely smart and automated factory. Automation can increase efficiency by making the manufacturing process more predictable, and it can also integrate certain factors into consideration, such as inventory and replenishment. In fact, process automation using AI, besides improving performance and output, can also free workers from dangerous, tedious, and error-prone tasks, which in industry can even be fatal.
Data analysis
The collection and analysis of data is crucial for optimizing efficiency in product manufacturing. Information regarding the stages of manufacturing, shipping, transport, and even customer satisfaction can contribute to refining the process.
Numerical control
Numerical control is the field that controls processes such as 3D printing, laser cutters, and other remotely operated machinery through digital files. Numerical control involves a strong technical knowledge of the software's operation and the physical processes being automated so that the equipment properly manipulates all raw materials.
Cyber-physical systems
Cyber-physical systems are used in factories and warehouses to integrate automation over a large space. These systems use the network to monitor systems and create necessary changes, such as reorganization or replenishment, independently.
Additive manufacturing
Additive manufacturing refers to manufacturing techniques that create products by depositing materials in layers. It is also known as 3D printing, where computers can control the process remotely, while engineers create blueprints with computer-aided design and object scanners. This process can be more efficient than manufacturing processes that require molding, cutting, or machining, as they produce less waste.
Industrial artificial intelligence
Industrial artificial intelligence, or industrial AI, is the application of AI in the industrial sector, such as in the movement and warehousing of goods, supply chain management, advanced analytics, and manufacturing automation. Industrial AI is often differentiated from other types of AI because its focus is on the application of AI technologies, rather than the development of human or human-simulation systems. Databases for industrial AI tend to be larger, though possibly of reduced quality, than those for generalized AI. Industrial artificial intelligence is uniquely suited for process plants, as the enormous amount of data and rapidly changing circumstances are too complex for manual or even digital management. In industrial technology, artificial intelligence contributes in several ways, such as: • Predictive analytics, which combine Internet of Things data with deep learning models;
• "Smart" equipment, which can measure performance independently;
• Automation, replacing human involvement, increasing efficiency, and boosting production;
• Faster analyses, which understand and resolve issues more quickly, reducing production bottlenecks;
• Supply chain management, increasing process visibility.
Additionally, for those working in the field, it is important to develop some useful skills in the industrial technology sector, such as: • Computational and mathematical skills;
• Scientific knowledge of chemical and physical principles;
• Organizational behavior;
• Familiarity with CAD/CAM software;
• Attention to detail;
• Written and spoken communication.
Conclusion
Industrial technology is an already well-disseminated sector, and its advancements will occur in accordance with the evolution of technology itself. Besides its implementation being essential in large-scale production, it is also important for those working in the field to understand its processes and seek to develop the skills that stand out in the sector. Therefore, Pix Force is a startup whose main objective is to serve the national industry through innovative industrial technology, based on artificial intelligence. We develop specific solutions for any industrial sector, through computer vision and machine learning. If you are interested in knowing how Pix Force can generate value for your business, get in touch with us!
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
