Robots and artificial intelligence have a significant role to play in maintaining crumbling infrastructure — and they could help bring about a zero-carbon economy while they’re at it.
That’s the conclusion of a new report by Gecko Robotics and Rho Impact, which studied how these technologies could reduce the environmental impact of critical infrastructure by bringing them into the digital world.
The potential is massive: The report claimed that digitizing carbon-intensive infrastructure could reduce emissions by a whopping 853 million metric tons (MMT) of CO2 annually. This is the equivalent of taking almost two thirds of gas-powered vehicles in the U.S. off the road, according to Gecko Robotics and Rho Impact.
Gecko identifies five areas for digital transformation
The report looked at five different sectors to demonstrate how digital transformation technologies could help create efficiencies and reduce emissions.
Oil and gas pipelines: Using robots for early detection of corrosion and other damage on components could reduce fugitive emissions, the unintended discharge of gases. AI-powered preventative maintenance programs can help avoid pipeline failure, resulting in a possible 556 MMT CO2e reduction in fugitive emissions, according to the companies.
Pulp and paper industry: Digitizing physical assets in this industry could help prevent corrosion of components. Robotics can be used to identify and address corrosion in paper mill tanks and pressure vessels, and AI can be used to make paper mill boiler operations more efficient.
Not only could digitalization reduce annual emissions by 46 MMT CO2e, per the report, but it could also result in a 6% improvement in emissions efficiency.
Maritime transportation: Digitalization could reduce greenhouse gas emissions by optimizing loads and detecting leaks on large ships, which can be up to 70% more efficient than smaller ones.
The report suggested that robots could inspect these large vessels more efficiently, reducing their time in the repair dock. Shippers could deploy AI to optimize loads. As a result, 11 MMT of CO2e emissions could be prevented by making the most efficient vessels more available.
Bridge infrastructure: Deploying robots to collect inspection and maintenance data, and using AI to analyze it and predict outcomes, could help reduce the time bridges are partially or fully closed for maintenance and repair, said Gecko Robotics and Rho Impact.
Digitalizing the inspection process would generate better data on bridges and could help reduce traffic-related emissions by 10 MMT CO2e, the report claimed.
Data key to addressing climate change, says report
The report concluded that it all comes down to data. Bringing major carbon-emitting industries into the digital world requires a comprehensive and detailed understanding of their infrastructure.
But manual inspection methods can result in limited data that doesn’t adequately identify the critical defects in infrastructural assets. Those assets don’t get the maintenance they need, leading to a shortened lifespan and premature replacement—which can have significant and avoidable business and environmental impacts.
By contrast, robotic inspections enable operators to collect comprehensive and detailed data, allowing them to prioritize maintenance and repair work that helps make their operations more efficient and extends their lifetime.
Deploying robots and AI as part of a digital transformation strategy makes the task of collecting and gaining insight from that critical data easier than ever. Not only could these technologies help industry meet the challenge of global warming, but they could also help boost their bottom lines.
Matthew Greenwood is a freelance writer for Engineering.com, a sibling site to The Robot Report. He has a background in strategic communications. He writes about technology, manufacturing, and aerospace.