Field-level networks that automatically detect a failed link or node and reroute traffic without engineering intervention, extending mesh-networking concepts to wired Ethernet-APL segments.
Field Control Devices
Final control elements, actuators, positioners, remote I/O and the robots and wearables now working alongside them.
Field control devices act on the process and on the plant: control and on-off valves, actuators, positioners, drives and remote I/O, and increasingly the robots and wearable equipment that work alongside field technicians. They are the most mechanically stressed part of an automation system and account for a large share of maintenance effort, which is why diagnostics feature so heavily here.
This category also covers how signals are gathered in the field and how the devices themselves are secured. Several entries are companions to developments elsewhere on the curve: distributed I/O follows Ethernet into the field, and virtualised I/O follows software-defined control.
Full analyses in this category
- Smart electric actuators (electrification of final control)
Electric actuators with built-in positioning, diagnostics and communications taking over duties that pneumatic actuators have dominated for decades. Methane rules and the cost of plant air are pushing adoption; fail-safe design and upfront cost are holding it back. - Predictive & prescriptive valve-positioner diagnostics
Digital valve positioners that analyse their own data and tell maintenance what is wrong and what to do about it. The diagnostics are mature; the value now depends on whether the plant acts on them. - Autonomous inspection robots & drones
Legged and wheeled robots, and drones, that run routine inspection rounds in process plants, including in explosion-hazard zones. Certified hardware exists and named operators run it; turning the data into maintenance work is the hard part. - Automated partial-stroke & proof testing
Automated partial-stroke and proof-test functions for safety valves, built into positioners, smart solenoids and safety systems. The technique is decades old; what is maturing is the record-keeping that lets a test count toward the safety case.
This category has 12 entries in the October 2026 edition, of which 3 are AI/ML-driven. They are listed below by stage, from earliest to most mature. Entries marked "Full analysis" have a sourced, in-depth page; the others are short entries.
Emerging Idea (3)
Entries at the Emerging Idea stage have a working concept and early demonstrations, but few or no production deployments. Evidence at this stage comes mainly from pilots, research and supplier roadmaps.
Cryptographic device identity, secure boot and signed firmware built into field controllers and smart final-control elements themselves, not bolted on at the network layer.
Powered or passive exoskeletons and biometric wearables supporting field technicians during manual valve operation, lifting and confined-space work.
Over-Promise (4)
Entries at the Over-Promise stage are receiving more supplier and media attention than their deployed base yet justifies. Products exist and early adopters are live, but independent evidence of results is still thin.
Electric actuators with integrated positioning, diagnostics and communications displacing pneumatic actuation on valves, dampers and switching devices.
I/O termination that virtualises the signal-processing and protocol-conversion layer in software running on standard servers, rather than in dedicated I/O card firmware.
Camera- and vision-model-based systems that automatically detect corrosion, leaks, mechanical wear or missed safety steps from continuous video or periodic imagery, replacing purely manual visual inspection rounds.
Motor control centres and motor-driven final elements with embedded machine-learning models trending vibration, current signature and temperature for early fault detection.
Reality Check (1)
Entries at the Reality Check stage have been through a round of over-promising. Early projects under-delivered, attention has moved on, and what remains is being re-scoped around the uses that work.
Smart-glasses and tablet-based augmented reality that lets a remote specialist see what a field technician sees and annotate the live view.
Industry Acceptance (4)
Entries at the Industry Acceptance stage have repeatable reference deployments and a reasonably well-understood business case. The open questions are about integration, cost and scale more than about whether the technology works.
Positioner-embedded analytics that move beyond NE107-style status flags to predicted remaining useful life and a recommended maintenance action.
Field-mounted I/O and junction boxes that terminate Ethernet-APL directly, pushing the marshalling and protocol-conversion layer out of the control room and into the field.
Crawlers, quadrupeds and drones performing routine visual, thermal and gas-detection inspection rounds that would otherwise require a technician in the field.
Automated execution and logging of safety final-element proof tests (partial-stroke testing, full-stroke testing) without manual technician intervention.
Stage and time-horizon placements are editorial judgements based on public information as of October 2026. See how placements are made.