POSCO DX Launches New AI Technology Center to Enhance Smart Factories

POSCO DX, a prominent player in the steel industry, is taking a giant leap towards the future of manufacturing with the establishment of their new AI Technology Center this year. The center aims to integrate Artificial Intelligence (AI) into various industrial applications to increase production efficiency and ensure a safer working environment.

By leveraging the data generated in industrial environments, the AI Technology Center will focus on autonomization, unmanned operations, and optimization processes. This innovation underscores the company’s commitment to enhancing productivity and achieving a safer workplace.

Rapid deployment of AI in essential industries is a cornerstone of the company’s strategy. Particularly in the steel manufacturing and secondary battery materials sectors, POSCO DX’s AI Technology Center is set to respond effectively to the growing demand for AI technology.

Three key functions within the industrial setting—cognition, judgment, and control—are the center’s primary focus. Developments in these areas will pave the way for an expanded application of AI across numerous operational scenarios.

In the heavy industries sector, where vast sites are common, specialized 3D image deep learning technologies have been developed to serve as the “eyes on the ground.” They have proven to be invaluable in the transformation of automation in manufacturing and logistics.

One notable application is the unmanned crane system that is now operational at steel plants, demonstrating the successful integration of cognitive AI. In battery material plants, industrial robots equipped with this AI technology have significantly enhanced operation outcomes.

Safety and productivity have received a significant boost with the deployment of industrial robots in high-risk, high-intensity industrial sites. To further advance robotic automation in industrial settings, POSCO DX has initiated the ‘Robotic Automation Center.’

Collaborative efforts, such as the one with the Gwangyang Steelworks to apply robotics in the zinc galvanizing process, highlight the company’s dedication to spreading robot utilization within steelworks. This year, initiatives include high-risk operations at the Pohang Steelworks, aiming to automate processes that are typically performed manually.

AGVs (Automated Guided Vehicles) and ACS (Automated Control Systems) are already in place to bolster logistics automation at secondary battery material factories, with an integrated management system for multiple AGVs. Company representatives maintain that their past focus on IT and OT technologies for smart factory adoption sets the stage for an evolution into intelligent factories with these advanced technological integrations.

Important Questions and Answers:

1. What is AI Technology Center’s role in enhancing smart factories?
The AI Technology Center’s role is to integrate Artificial Intelligence into industrial applications to improve production efficiency, safety, and achieve operational autonomy. It focuses on developing AI-driven cognition, judgment, and control functions for various operational scenarios.

2. How does artificial intelligence contribute to safety in heavy industry settings?
Artificial intelligence contributes to safety by enabling automation of high-risk tasks. Industrial robots and systems, such as unmanned cranes, reduce the need for human intervention in hazardous environments, thus lowering the risk of workplace injuries.

3. What are some challenges associated with implementing AI in heavy industries?
Challenges include the high cost of development and implementation, the complexity of integrating AI with existing systems, ensuring the reliability and security of AI operations, and addressing workforce displacement due to automation.

Key Challenges or Controversies:

Integration Complexity: Integrating AI with existing industrial systems is complex and presents a challenge in achieving seamless operations without extensive restructuring or updates.
Data Security: With increased reliance on data-driven technologies, protecting sensitive data against cyber-attacks is a major concern.
Workforce Displacement: The advancement of robotic automation could lead to job displacement, requiring workforce retraining for new roles.
Reliability: Ensuring the AI systems function reliably and make accurate judgments in a diverse range of scenarios is essential but can be difficult to achieve.

Advantages and Disadvantages:

Advantages:
– Increased efficiency and productivity through automation.
– Safer working conditions by reducing human exposure to high-risk tasks.
– Enhanced quality control through precise AI monitoring and adjustments.
– Potential for 24/7 operations without human fatigue.

Disadvantages:
– High initial investment in technology and infrastructure.
– Potential job losses or the need to reskill workers.
– Dependency on technology, leading to vulnerabilities in the case of system failures or cyber-attacks.
– Technological and ethical concerns about machine decision-making.

Related Links:
For more information about POSCO and its various initiatives, you can visit their official website at the following link: POSCO.

The source of the article is from the blog crasel.tk

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