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A New Approach to Predictive Maintenance Challenges

Effective maintenance programs are vital in manufacturing, energy and utilities, and other asset-intensive industries—preventing equipment failures that lead to costly downtime and repairs. Smart organizations have shifted toward predictive maintenance strategies. Instead of periodically checking assets and replacing parts on fixed schedules, companies are now using artificial intelligence (AI) to identify warning signs of impending issues before they cause damage or outages. This approach can help extend asset lifespans, extract the full value of equipment and parts, and avoid unplanned outages.

Asset Management for the Rest of Us

There is a disconnect in manufacturing.

On one hand, artificial intelligence (AI) and machine learning (ML) have made huge advancements and offer tremendous potential to save maintenance costs and increase uptime by identifying problems before they escalate. On the other hand, the relevant data these ML models need is often hard to gather and aggregate into disparate systems. Legacy assets plod along without realizing the full promise of digital transformation and Industry 4.0.

But what if there were an easy way to access the right data—in the right place at the right time? 

Spot Release 3.0: Flexible autonomy and repeatable data capture

Artificial intelligence is changing how businesses operate, furthering applications from enterprise asset management to construction site tracking and everything in between. AI systems depend on data, but reliable, repeatable data is hard to collect in busy, remote, or hazardous work sites. Spot solves this problem by acting as a dynamic sensor, collecting data where and when it’s needed, freeing operators from tedious data collection and enabling companies to accelerate their digital transformations.

How to Gather Better Data and Reduce Dosage in Nuclear Facilities

Nuclear power constitutes more than half of the non-carbon electricity generated in the United States, according to the US Energy Information Administration. Given global decarbonization efforts, there is a strong likelihood that nuclear power will become a more significant contender in energy production as time progresses and demand continues to climb. 

Spot Collects Data and Senses Radiation in Nuclear Environments

Producing sustainable, clean energy is one of the most important problems for us to solve in our time. While it brings challenges of its own, nuclear energy continues to provide large quantities of carbon-free electricity to the world and will likely continue to do so for many years to come. Throughout the history of nuclear power, robotics have played an important role in the management, safety, and operations of generating plants. Agile mobile robots help these facilities to operate efficiently and safely, supporting remote inspection, dosage reduction, decommissioning, cleanup, and more. 

Automated Construction Site Documentation

The construction industry hasn’t always been quick to embrace new technologies, but more recently (accelerated in part by the pandemic) there has been a surge in new construction tech. New automation, robotics, and digital transformation technologies are affording opportunities to disrupt processes that are traditionally very labor-intensive. Chief among these are data capture tools and methodologies that offer construction companies greater visibility into their projects by effectively monitoring progress across their jobsites.