Asset management in hazardous areas has always been a tough problem. Not because the technology hasn't existed, but because getting accurate, real-time data from environments where phones and tablets aren't rated for use has historically forced workers into paper-based workarounds. That creates lag, transcription errors, and gaps in the maintenance record that can have serious consequences.
The shift toward mobile-first asset management in oil and gas, offshore, and chemical processing has been steady. And the question that safety managers and procurement teams are increasingly asking isn't whether mobile devices belong on site - it's how to use these devices to their maximum capacity, and which devices are up to the task.
Before any data can be captured or acted on, the asset itself needs a reliable digital identity. Barcodes fail when they're dirty, worn, or obscured. Manual entry fails because humans make errors under pressure, especially in bulky PPE.
RFID and NFC tags change the equation. Ruggedised RFID tags can survive high-pressure, high-temperature drilling environments — including HPHT wells where conditions would destroy conventional labels within hours. The tag stores the asset's identity; the mobile device reads it. No line of sight required, no manual entry, no interpretation.
For a handheld mobile scanner paired with an intrinsically safe or explosion-proof phone, the practical applications are significant. Full-lifecycle drill pipe monitoring tracks operational hours and fatigue cycles, flagging components before they reach failure thresholds rather than after. In equipment yards, RFID enables rapid location of specific assets even when buried under other materials — a check-in/check-out process that previously took hours can be reduced to minutes.
The accuracy difference is not marginal. RFID-based identification eliminates the transcription errors endemic to manual processes, ensuring the data captured matches the asset's digital twin exactly. When that data feeds into an ERP system, you get a single source of truth across maintenance, procurement, and safety functions. Organisations that have made this shift report reductions in unscheduled equipment removals of up to 30%, driven by predictive maintenance that's only possible when the underlying data is reliable.
One application worth calling out specifically: Safety Data Sheet access in chemical environments. Scanning an RFID-tagged container with a mobile device gives the responding worker instant access to the correct SDS, including the right extinguishing agent, first aid protocol, and PPE requirements. In a spill or fire scenario, the difference between having that information and not can be life-critical.
Reading an asset's identity is one thing, documenting its condition accurately is another. On-device AI processing is starting to earn its place in industrial workflows, particularly for video documentation and low-light inspection.
Action stabilisation handles the practical reality of a worker moving through a complex site — footage that would have been unusable is now clear and usable by remote experts reviewing the walkthrough. For sites where on-site expertise is spread thin, this capability enables meaningful remote support without requiring the expert to be physically present.
Low-light and night shift operations are where AI-powered computational photography makes a more direct safety contribution. Identifying leaks, mechanical wear, or fluid seepage in poorly lit areas requires image quality that basic cameras can't reliably deliver. The ability to capture high-quality documentation during night shifts, without additional lighting equipment, reduces the likelihood that issues are missed or deferred until the next daylight inspection.
Beyond visual light, the integration of thermal imaging capabilities in intrinsically safe devices can transform them into preventative maintenance tools. By identifying ‘hot spots’ in electrical panels, mechanical friction in bearings, or tank levels via heat signatures, workers can spot potential failures before they trigger an alarm. When these thermal data points are analyzed by on-device AI, the system can automatically flag anomalies against historical benchmarks, turning a routine walkthrough into a diagnostic sweep.
Where RFID and photography capture what an asset is and how it looks, LiDAR captures where it sits in a space, with incredible accuracy. LiDAR calculates distance by measuring how long it takes for light to return from a surface. The result is a detailed, accurate 3D depth map of the environment. In consumer devices, it's used for augmented reality. In industrial applications, it's useful for rather more consequential things.
Structural monitoring is one of the clearest use cases. LiDAR-equipped mobile devices can detect deflection, wall movement, or foundation settling at a centimeter-level, often before any visible signs of distress appear. For aging infrastructure in offshore or processing environments, this gives maintenance teams a quantified, repeatable measurement rather than a subjective visual assessment.
As-built documentation benefits from the same capability. A digital record captured with LiDAR-based 3D scanning is objective and comparable year-over-year. Changes that are invisible to the human eye show up clearly when you overlay point clouds from different periods.
For civil or earthworks applications, on-site volumetric calculations using 3D point cloud data remove the need for traditional survey methods. Embankment quantities, tank volumes, stockpile assessments - all calculable from a handheld device, in the field, without waiting for survey data to come back from a third party.
Specialized LiDar devices aren't so necessary with an Ex-Proof iPhone in your pocket
The workflows described above have traditionally required purpose-built rugged devices: expensive, heavy, limited in capability, and running software ecosystems that lag behind the consumer market by years. Using today’s iPhones, combined with an ATEX/IECEx certified case, such as Xshielder’s changes that dynamic.
For RFID and NFC data capture, the iPhone's NFC hardware is mature and fast. Workers can scan tagged assets, access SDS documents, and update ERP records without leaving the hazardous area or switching devices.
For documentation, the iPhone 17 Pro Max camera system handles both the AI-driven stabilisation and the low-light performance that night shift inspections demand. Action mode, computational photography, and the wide aperture lens work as described. In fact, an iPhone 17 Pro Max combined with Xshielder is the best intrinsically safe camera money can buy - dedicated camera or not.
For LiDAR applications, the iPhone 17 Pro Max carries a LiDAR scanner capable of the structural monitoring, as-built documentation, and volumetric analysis described above. Third-party scanning apps — several of which are purpose-built for industrial and construction use — run natively on iOS. The combination of the Xshielder case's Ex-rated protection and the iPhone's LiDAR hardware means a single device can handle inspection tasks that previously required multiple instruments. Additionally, because the iPhone 17 Pro Max supports Wi-Fi 7 and advanced 5G, it allows for ‘real-time’ upload of the massive 3D point clouds generated by LiDAR.
The practical outcome is a connected worker who carries one device, operates across all asset management workflows, and doesn't need to step out of zone to do it. For procurement teams, it simplifies specification. For safety managers, it reduces the number of unrated devices that find their way onto site.
Does RFID work through explosion-proof phone cases? Yes. Most Ex-rated cases, including those designed for NFC-equipped smartphones, are engineered to allow NFC and RFID read operations to function without removing the device from the enclosure. Confirm this with your case supplier before specifying, as designs vary.
How accurate is LiDAR on a smartphone for industrial use? Smartphone LiDAR, including the scanner on current iPhone Pro models, is accurate to approximately 1cm at close range and performs well for structural monitoring, as-built scanning, and volumetric analysis when used with appropriate software. For millimetre-level structural deflection measurement, dedicated scanning equipment remains more accurate — but for a wide range of field inspection and documentation tasks, smartphone LiDAR delivers results that are operationally useful and significantly faster to capture than traditional survey methods.
What industries are most likely to benefit from mobile RFID asset tracking in hazardous areas? Oil and gas (upstream and downstream), offshore platforms, chemical processing, petrochemical refining, and mining are the primary sectors. Any industry where assets operate in classified explosive atmospheres, require lifecycle tracking, or carry safety-critical SDS information will see direct operational benefit from mobile RFID combined with Ex-rated devices.