Intelligent automation is gaining rapid momentum in global industries to drive efficiency. In the article below, SSG would like to summarize the top 10 industrial automation trends in 2023.
Artificial intelligence (AI) and Machine learning (ML)
90% Enterprise applications and software are expected to use AI by 2025. sixty one% ML applications are in the automation market.
AI and ML technologies enable IT automation tools to learn and adapt autonomously, known as intelligent automation solutions. AI-powered IT automation tools can analyze data, make decisions, and automate complex tasks to optimize business processes and improve overall system performance . Ways AI/ML transforms IT automation efforts include:
Automated Machine Learning (AutoML) refers to automated processes that apply Machine learning (ML) to real-world problems. AutoML can help data scientists in their daily operations and increase efficiency. The autoML market is expected to grow by 43.7% through 2030.
ML in test automation: Machine learning (ML) algorithms and techniques can improve various aspects of test automation, such as test case generation, test case execution and test data management.
Intelligent Document Processing (IDP): enables businesses to automate document processes, including unstructured data such as PDFs and images, by leveraging natural language processing (NLP), optical character recognition (OCR) and robotic process automation (RPA).
Advanced robotics
The birth of smart robots helps replace workers in dangerous environments, minimizing labor accidents as well as labor shortages.
Collaborative robots or cobots work in conjunction with humans and quickly adapt to the environment, supporting the performance of various tasks such as assembly, packaging, and machine maintenance, helping to increase the efficiency of the line. production, optimizing labor costs.
Industrial IoT
In industrial automation, it is important that the system of industrial equipment and machinery is connected and integrated to collect and analyze data in real time.
IoT was born to support the implementation of the above requirements, helping businesses optimize production, reduce waiting time, and ensure labor safety. Allows managers to monitor the production process, production conditions, support warning features related to labor status and machine operation, thereby providing quick and effective solutions. and exactly.
Edge and Cloud Computing
Edge Computing is driven by the need for real-time data processing and low-latency communication in industrial environments.
Cloud-based solutions help businesses reduce IT costs, simplify remote data access, and improve data mining efficiency.
(Edge Computing) is closely linked to cloud computing and the Internet of Things (IoT). This is the intermediary layer responsible for processing and storing small data, it is necessary to ensure quick response from the IoT layer and save bandwidth capacity to process large data forwarded to the cloud layer – Cloud computing.
Virtual reality technology (Immersive Technology)
Virtual reality is a simulation system in which computer graphics are used to create a “realistic” world.
The implementation of virtual reality (VR) and augmented reality (AR) contributes to improving efficiency and safety for workers.
For example, VR simulates real-life situations to assist workers during training, allowing for training in a safe, tightly controlled environment. At the same time, virtual reality technology supports real-time information sharing, improving worker performance and minimizing manual errors during the production process.
Currently, many businesses use virtual reality technology to provide digital copies of factories and production machinery as well as develop AR software to support industrial equipment maintenance. .
Additive manufacturing
Additive manufacturing is also known as the concept of 3D printing technology. This is the process of creating objects by gradually layering each layer of material on top of each other according to available profiles.
Today, the need for accuracy and complexity in simulating product and equipment samples is increasingly important, which affects the speed of the production process and the cost of machinery and equipment.
The advent of 3D printing technology allows manufacturers to create products with precise, diverse parts and flexible adjustment capabilities, helping to save costs on supplies and materials. , machines.
Cyber security – Cyber security
Cyber security is a specialized term in the field of information technology. This is a comprehensive system of activities to ensure the safety of data information on computers, servers, and mobile devices from attacks via the Internet.
Cyber security solution using AI and ML to analyze the behavior of industrial control systems thereby minimizing potential threats in real time.
5G
The demand for internet access coupled with the emergence of new technologies such as AI, IoT and automation is driving a huge increase in the volume of data generated. The exponential data generation and future prediction of current mobile infrastructure is not designed for such large information load, need to be upgraded.
5G technology, with the advantages of fast data processing speed and large capacity, 5G can help support and scale a number of applications in fields such as smart factories, virtual reality, and entertainment solutions. Automated migration solutions, Edge computing…
Blockchain
Blockchain technology is an advanced database mechanism that enables transparent sharing of information across a business network. Blockchain databases store data in blocks linked together in a chain.
Blockchain enables decentralized communication and secure data sharing between machines, people, and organizations.
Wearables
Wearables or Wearables technology refers to items that can be worn or carried on the body, also known as “wearable technology”. Is a collection of accessories that integrate modern technology that users can wear or carry.
Wearables use many smart, useful features for people’s daily lives.
Industrial wearables applied in manufacturing processes support the provision of real-time production information and the collection and analysis of specific data for production workers.
For example, smart glasses or gloves allow users to access direct instructional information, facilitating faster and more accurate work performance.
Data collected and analyzed from the device allows business managers to identify inefficiencies and optimize production processes.
