Industrial drone inspection is the use of unmanned aerial vehicles (UAVs) to inspect large industrial assets, such as bridges, pipelines, wind turbines, power lines and storage tanks.
Industrial drones carry cameras and sensors that capture information that inspectors can’t, making them an indispensable tool for maintenance organizations in asset-intensive industries.
Unlike recreational drones, industrial drones carry advanced equipment such as high-resolution cameras, thermal cameras and LiDAR sensors. Industrial drone inspections help organizations advance and modernize their maintenance capabilities by easily integrating data into computerized maintenance management system (CMMS), enterprise asset management (EAM) and digital twin software and platforms.
Industrial drone inspection has become common wherever organizations need to maintain large, physical assets as part of their core business processes. Data gathered by drones helps inform many modern maintenance strategies, including predictive maintenance, asset management planning and automated regulatory compliance.
The market for drones that can be used for inspection in general—not just to inspect industrial assets—is large and growing. According to a recent report from Global Newswire, the market is projected to grow from USD 14 billion in 2024 to almost USD 36 billion in 2029.
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Industrial drone inspection is the process of drone operators flying drones near industrial assets to collect detailed visual and non-visual data to maintain those assets better.
Most drone inspections—not just those involving industrial assets—are conducted through a simple, five-step process.
The first step for any organization seeking to implement drone inspection is to clearly define its objective.
Maintenance planners must determine which assets require drone inspection, which defects they’re trying to identify and what types of data they want to collect.
After creating a drone inspection plan, drone operators prepare the unmanned aerial vehicle (UAV) and verify that its onboard systems are functioning correctly.
The second phase of the drone inspection process usually includes steps such as calibrating navigation systems, checking battery health, testing cameras and sensors and confirming GPS accuracy.
During the data collection phases, drones use cameras and sensors to capture data and images according to their flight plan.
Many modern drones have autonomous flight software that enables them to maintain consistent distances from sensitive structures such as storage tanks, pressure vessels and refineries and take photographs from multiple angles. This repeatability aspect allows maintenance teams to compare results from identical viewpoints across multiple inspections.
After the flight, software processes the information the drone collected into a usable data visualization, such as orthomosaic imagery, a point cloud dataset or a three-dimensional map (3D map).
Photogrammetry software can reconstruct an image of an asset from overlapping photographs during this phase, while other software can translate laser measurements into highly accurate digital representations of structure and terrain.
The last stage of the drone inspection process involves engineers, inspectors and maintenance specialists analyzing the data the drone collected to identify potential defects in physical structures.
Most modern organizations integrate the results of drone inspections directly into a CMMS platform where software automatically creates and maintains a maintenance record and inspection history for each asset.
Modern industrial drones are primarily set up to conduct two types of inspections: visual and non-visual:
Here’s a side-by-side comparison.
| Visual inspection
| Non-visual inspection
|
Equipment | Uses high-resolution, red-green-blue (RGB) cameras that mimic the human eye | Uses complex non-visual devices including thermal cameras, thermal sensors, LiDAR sensors, gas detectors and multispectral cameras |
Uses | Detects visible defects and surface damage including cracks in bridges, blade erosion on wind turbines and loose antennas on cell towers | Detects defects or asset conditions invisible to the naked eye, including methane leaks at an oil and gas refinery, overheating in a storage tank and variations in underground terrain in a mine |
Output | Photos and videos | Thermal imagery, point clouds, 3D models and 3D maps |
Strengths | Best for leak detection, powerline inspection and other processes that help identify superficial damage such as corrosion, cracks and missing parts | Best for identifying changes in temperature or terrain, structural problems and gas leaks |
Industrial drone inspections are subject to requirements set by industry-specific organizations and national governing bodies, such as the Federal Aviation Administration (FAA). To ensure regulatory compliance, organizations often demonstrate their procedures to the relevant governing bodies.
Aspects of industrial drone operation covered during these demonstrations typically include the following elements:
The formal inspection bodies that regulate drone inspection are divided into two categories: rules that govern drone flight and rules that govern infrastructure inspection.
Worldwide, national aviation authorities regulate drone flight, while the International Civil Aviation Organization (ICAO) increasingly standardizes the overall regulatory framework.
In the United States, the FAA regulates all drone flight, sets rules for safe flight, controls air traffic and establishes oversight of commercial drone operations.
Infrastructure inspection standards—which organizations operating industrial inspection drones must also comply with—vary by industry. Here are a few of the regulatory bodies responsible for monitoring industrial drone inspections in the United States:
Drone inspection benefits many industries, but perhaps none more than those industries that operate large, complex industrial assets. Industrial drone inspections enable organizations to inspect their physical assets faster, more safely and more accurately than was possible in the past when relying on human resources.
By improving the quality and frequency of inspection data, industrial drone inspections enable maintenance teams to make smarter decisions throughout the entire asset lifecycle. Here are some of the most common benefits of industrial drone inspection at the enterprise level:
Industrial drone inspections are used across nearly every asset-intensive industry, including transportation, oil and gas and mining. Here are some of its most common use cases:
Demand for drone inspection is increasing worldwide, with industrial drone inspection considered to be one of the fastest-growing application areas. As infrastructure ages and safety regulations increase, asset-intensive industries such as oil and gas, mining and transportation are turning to industrial drones to improve safety, reduce costs and conduct more frequent inspections.
Here’s a look at three major trends shaping the industry.
Drones are becoming more autonomous through increasingly advanced artificial intelligence (AI) applications. For industrial drones in particular, AI is having an impact on how they are flown and how they gather and analyze data.
Here’s a look at some of the areas where new AI capabilities are enabling advancements in industrial drone technology:
Beyond visual line of sight (BVLOS) operations are drone flights that require manual operation when drones are too far away for pilots to see them. Driven by the need to inspect assets that span hundreds of miles, industrial drones are being designed to enable pilots to operate them from farther and farther away.
Organizations seeking to operate drones in this way must first receive approval from relevant governing bodies. In the United States, FAA approvals of BVLOS drone operations increased from 1,229 in 2020 to 26,870 in 2023, according to a recent report form the Inspector General. This increase indicates a dramatic rise in demand.
Here are some examples of assets BVLOS drone flights help pilots inspect:
Modern drone inspection platforms are becoming increasingly integrated into asset management systems so they can improve long-term maintenance strategies, simplify workflows and inform capital planning decisions.
These software systems integrate data from industrial drone inspections:
Instead of generating inspection reports, future systems will likely automate work orders, update asset histories and enhance predictive maintenance. They will also prioritize repairs based on defects drones have detected.