Core overall trend: intelligent hardware, full Ethernet networking, open and decoupled architecture, predictive maintenance, AI assistance rather than replacement of real-time control, mandatory functional safety and cybersecurity, deep domestic substitution, and a talent shift from pure hardware O&M to a software-hardware hybrid. This outlook maps the likely path for process industry instrumentation and control from 2026 to 2035.
Traditional centralized DCS will move toward electronic marshalling and distributed I/O, cutting cable trays, multi-core cables, and cabinet counts. The O-PAS open automation concept promotes hardware-software decoupling and freedom from single-vendor lock-in, though safety SIS keeps a highly reliable closed system, with openness prioritized for non-safety domains. The ISA-95 pyramid flattens as OT and IT converge; edge computing sinks to the control layer for non-real-time analysis, while real-time control stays a local closed loop. DCS/SIS will natively carry digital-twin interfaces and OPC UA, with SIL assessment and certification becoming a hard threshold for new projects. The cloud augments remote monitoring and analytics but does not replace local core control.
Mature applications include predictive maintenance of instruments, control valves, and actuators based on diagnostic data; process abnormality identification, operator assistance, alarm-flood management, and virtual commissioning; and engineering tasks such as specification drafting and fault-case retrieval. The boundary is clear: large models will not directly participate in SIS interlocks or critical PID real-time closed-loop control, which require determinism, low latency, and verifiability. Today's industrial AI mainly uses mechanism-plus-data fusion models. Digital twins will become widespread, with full instrumentation data as their foundation.
Design shifts to virtual commissioning and digital delivery — a complete instrumentation digital model rather than only paper drawings. Procurement requires APL compatibility, OPC UA, device diagnostics, and cybersecurity capability beyond performance, as domestic DCS, SIS, transmitters, and control valves move from "usable" to "good to use." Construction simplifies field wiring while raising demands for network and explosion-proof switch commissioning. O&M transforms: from tightening screws, replacing meters, and wiring to network troubleshooting, diagnostic data analysis, model validation, SIL verification, and cybersecurity inspection.
Functional safety per IEC 61511 makes SIS and SIL full-lifecycle management a routine enterprise task, not a one-time project item. Industrial cybersecurity enters daily O&M: zoning and isolation, access control, device vulnerability and firmware management. As APL and Ethernet instruments expand the attack surface, instrumentation engineers must understand basic cybersecurity.
Traditional skills — instrument principles, loop calibration, cable trays, explosion protection, DCS configuration, field commissioning — will not disappear. New required capabilities include industrial networking (Ethernet, APL, OPC UA, switch troubleshooting), reading diagnostic data for predictive maintenance, functional safety and SIL basics, cybersecurity fundamentals, digital-twin literacy and AI tools, and process-mechanism understanding. Those who can only wire and swap meters will face a capability gap.
The huge installed base means 4–20 mA and HART will coexist long term, with hybrid old-new operation as the norm; AI and APL cost a lot, so small and mid-size enterprises retrofit slowly; the compound-talent gap is large; and the safety bottom line is unchanged — safety interlocks prefer hardwiring, and new technology is piloted first in non-safety scenarios.
Short term: APL begins batch pilots in new large projects while upgrades stay HART-based; predictive maintenance, alarm governance, and virtual commissioning land at scale; domestic DCS/SIS and control valve share keeps rising. Mid-long term: Ethernet field instruments become mainstream in new projects; open automation spreads; full-lifecycle digital delivery becomes standard; and the "sense–analyze–assist–human-confirmed execution" smart-plant model takes shape — though fully unmanned autonomous chemical plants remain hard to realize at scale.
Core overall trend: intelligent hardware, full Ethernet networking, open and decoupled architecture, predictive maintenance, AI assistance rather than replacement of real-time control, mandatory functional safety and cybersecurity, deep domestic substitution, and a talent shift from pure hardware O&M to a software-hardware hybrid. This outlook maps the likely path for process industry instrumentation and control from 2026 to 2035.
Traditional centralized DCS will move toward electronic marshalling and distributed I/O, cutting cable trays, multi-core cables, and cabinet counts. The O-PAS open automation concept promotes hardware-software decoupling and freedom from single-vendor lock-in, though safety SIS keeps a highly reliable closed system, with openness prioritized for non-safety domains. The ISA-95 pyramid flattens as OT and IT converge; edge computing sinks to the control layer for non-real-time analysis, while real-time control stays a local closed loop. DCS/SIS will natively carry digital-twin interfaces and OPC UA, with SIL assessment and certification becoming a hard threshold for new projects. The cloud augments remote monitoring and analytics but does not replace local core control.
Mature applications include predictive maintenance of instruments, control valves, and actuators based on diagnostic data; process abnormality identification, operator assistance, alarm-flood management, and virtual commissioning; and engineering tasks such as specification drafting and fault-case retrieval. The boundary is clear: large models will not directly participate in SIS interlocks or critical PID real-time closed-loop control, which require determinism, low latency, and verifiability. Today's industrial AI mainly uses mechanism-plus-data fusion models. Digital twins will become widespread, with full instrumentation data as their foundation.
Design shifts to virtual commissioning and digital delivery — a complete instrumentation digital model rather than only paper drawings. Procurement requires APL compatibility, OPC UA, device diagnostics, and cybersecurity capability beyond performance, as domestic DCS, SIS, transmitters, and control valves move from "usable" to "good to use." Construction simplifies field wiring while raising demands for network and explosion-proof switch commissioning. O&M transforms: from tightening screws, replacing meters, and wiring to network troubleshooting, diagnostic data analysis, model validation, SIL verification, and cybersecurity inspection.
Functional safety per IEC 61511 makes SIS and SIL full-lifecycle management a routine enterprise task, not a one-time project item. Industrial cybersecurity enters daily O&M: zoning and isolation, access control, device vulnerability and firmware management. As APL and Ethernet instruments expand the attack surface, instrumentation engineers must understand basic cybersecurity.
Traditional skills — instrument principles, loop calibration, cable trays, explosion protection, DCS configuration, field commissioning — will not disappear. New required capabilities include industrial networking (Ethernet, APL, OPC UA, switch troubleshooting), reading diagnostic data for predictive maintenance, functional safety and SIL basics, cybersecurity fundamentals, digital-twin literacy and AI tools, and process-mechanism understanding. Those who can only wire and swap meters will face a capability gap.
The huge installed base means 4–20 mA and HART will coexist long term, with hybrid old-new operation as the norm; AI and APL cost a lot, so small and mid-size enterprises retrofit slowly; the compound-talent gap is large; and the safety bottom line is unchanged — safety interlocks prefer hardwiring, and new technology is piloted first in non-safety scenarios.
Short term: APL begins batch pilots in new large projects while upgrades stay HART-based; predictive maintenance, alarm governance, and virtual commissioning land at scale; domestic DCS/SIS and control valve share keeps rising. Mid-long term: Ethernet field instruments become mainstream in new projects; open automation spreads; full-lifecycle digital delivery becomes standard; and the "sense–analyze–assist–human-confirmed execution" smart-plant model takes shape — though fully unmanned autonomous chemical plants remain hard to realize at scale.
