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Robots and AI Transform Infrastructure for a Sustainable and Greener Future

Robots

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TL;DR

  • Robots and AI may cut 853M tons of CO2, equal to 2/3 of US gas cars, in digital infrastructure overhaul.
  • Five sectors benefit: oil and gas, paper mills, ships, and bridges with less emissions and better efficiency.
  • Detailed data from robots and AI fights climate change, boosts business, reveals new study.

Robots and artificial intelligence (AI) are set to reshape the world of critical infrastructure, leading the way towards a sustainable future. In a groundbreaking study conducted by Gecko Robotics and Rho Impact, the potential of these technologies to reduce the environmental impact of essential infrastructure has been unveiled.

Digital transformation’s impact on emissions  

Digitizing carbon-intensive infrastructure could be a game-changer in the fight against climate change. The report reveals that this transformation has the potential to slash carbon emissions by a staggering 853 million metric tons (MMT) of CO2 annually. To put this into perspective, it’s equivalent to taking nearly two-thirds of all gas-powered vehicles in the United States off the road.

Five sectors for transformation  

The study focuses on five key sectors, each with unique opportunities for digital transformation:

1. Oil and Gas Pipelines: Robots can swiftly detect corrosion and damages, reducing fugitive emissions. AI-driven preventative maintenance programs can avert pipeline failures, potentially leading to a remarkable 556 MMT CO2e reduction in fugitive emissions.

2. Pulp and Paper Industry: Digitalization can prevent corrosion of components. Robots and AI can efficiently identify and address corrosion in paper mill tanks and pressure vessels, while also optimizing paper mill boiler operations, potentially reducing annual emissions by 46 MMT CO2e and improving emissions efficiency by 6%.

3. Maritime Transportation: Digitalization offers the potential to optimize shiploads and detect leaks, making larger vessels up to 70% more efficient than smaller ones. By employing robots to inspect these vessels more efficiently, 11 MMT of CO2e emissions could be prevented.

4. Bridge Infrastructure: Robotic data collection and AI analysis can reduce the time bridges are closed for maintenance and repair. This approach could potentially cut traffic-related emissions by 10 MMT CO2e.

The role of data in climate action  

The report underscores the critical importance of data in addressing climate change. Transitioning major carbon-emitting industries into the digital realm requires a comprehensive understanding of their infrastructure. Manual inspection methods often fall short, providing limited data that fails to identify critical defects, ultimately leading to inadequate maintenance.

In stark contrast, robotic inspections enable operators to gather comprehensive and detailed data, facilitating more informed maintenance decisions that enhance efficiency and prolong asset lifespans. Integrating robots and AI into digital transformation strategies simplifies the collection and analysis of vital data, offering a win-win scenario by helping industries combat global warming and boost their financial performance.

The transformative power of robots and AI in critical infrastructure is poised to reshape industries while contributing to a greener planet. Digitalization offers unprecedented opportunities to reduce emissions, improve efficiency, and extend the lifespan of essential assets. As these technologies become integral to infrastructure management, we can expect a brighter, more sustainable future.

Disclaimer. The information provided is not trading advice. Cryptopolitan.com holds no liability for any investments made based on the information provided on this page. We strongly recommend independent research and/or consultation with a qualified professional before making any investment decisions.

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Randa Moses

Randa is a passionate blockchain consultant and researcher. Deeply engrossed with the transformative power of blockchain, she weaves data into fascinating true-to-life next generation businesses. Guided by a steadfast commitment to research and continual learning, she keeps herself updated with the latest trends and advancements in the marriage between blockchain and artificial intelligence spheres.

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