The next-generation compressor controller,with intelligence built into the machine

AIRKore is the all-in-one control and data core for air compressor OEMs. Package control, full interlock protection, native IoT and edge AI are integrated on a single industrial-grade board. Every unit ships connected, with operating data captured across its full lifecycle.

  • Millisecond local control and protection
  • Edge-cloud AI and predictive maintenance
  • Cloud-native, no add-on gateway
AIRKore air compressor controller
48pt
I/O base
One board fits multiple models
3modes
Control modes
Local · networked · group control, adaptive switching
5–15%
Typical overall energy savings
7×24
Edge online diagnostics
No loss of control offline, no data gaps

Four capabilities, integrated on one board

Package control

Start/stop, load/unload cycling and pressure control logic covering all screw compressor operating conditions; a highly expandable I/O base lets one hardware platform serve multiple model series.

Interlock protection

Anti-emulsification control algorithm and full interlock protection logic; a black-box recorder captures key events and fault snapshots, giving after-sales disputes a verifiable record.

Native IoT

The board connects natively to the RIYI cloud platform and the local DCS — units get online reliably with no add-on gateway box.

Edge-cloud AI optimization

Control and diagnostic algorithms run locally while the cloud handles long-term data analysis and strategy optimization; works with CompAI to keep improving energy efficiency, upgraded with each firmware release.

Embedded in the compressor, connected to the field, the cloud and the local DCS

Architecture diagram of AIRKore embedded in an air compressor, connecting sensor points, the cloud platform and the local DCS host

Edge-cloud collaboration · real-time at the edge, evolving in the cloud

Millisecond control on-site, continuous evolution in the cloud

Equipment health dashboard · real-time edge inference Inference live
87 Health score
Airend temperature trend and forecast 72h forecast window
Forecast: temperature rise normal over next 72h
Measured (edge) AI forecast (cloud model)
Vibration
2.1 mm/s
Oil temp
78 °C
Current
63 A
Specific power
Optimal
Real-time edge control → Data to the cloud → Fleet-wide analysis and optimization → Model rollout ↺ More accurate with every run

Edge · local intelligence

Control and protection in a millisecond local loop

  • Control algorithms run locallyAdaptive pressure control, load/unload strategy and operating schedules execute on the board, with no dependence on network round trips.
  • Real-time protection logicAnti-emulsification, over-temperature, over-pressure and interlock protections act within the scan cycle — the unit stays safe even when the network or cloud goes down.
  • Edge AI inferenceLightweight models with a per-unit baseline judge what is "normal" by load and season, spotting anomalies in real time while suppressing false alarms.
  • Safe operating envelopeA built-in safe-envelope model automatically blocks parameter settings and misoperations that would push the unit outside safe operating conditions.

Cloud · data evolution

Long-term data, continuously mined with time-series models

  • Data assets that accumulateFull-lifecycle operating curves, alarms and black-box events are continuously archived into an analyzable data foundation.
  • Fleet-wide data analysisTime-series mining across the fleet uncovers failure patterns, energy-use trends and component life, making predictions earlier and more accurate.
  • Energy strategy optimizationStrategies are continuously refined to lower specific power (SEC), with typical overall energy savings of 5%–15%.
  • OTA model updatesImproved control and diagnostic models trained in the cloud are signed, verified and pushed back to the controller for continuous upgrades.

On-board display, full control on one screen

AIRKore on-board real-time operating panel

On-board display

Operating status and maintenance info at a glance

The color display brings together key metrics such as pressure, load and temperature, while physical buttons handle start/stop and parameter tuning — no external device needed on site.

Real-time operating panel Pressure settings Local/remote switching Alarm alerts Fault and maintenance alerts AI energy-saving analysis

From reactive repair to autonomous optimization

Stage 1
Manual inspection
Scheduled maintenance, experience-driven
→
Stage 2
Remote monitoring
Data visible, judged by people
→
Stage 3AIRKore today
Predictive maintenance
AI sees it first — fix before failure
→
Stage 4Roadmap
Autonomous optimization
Self-adapting strategy, minimal staffing

Fewer unplanned outages

Fault symptoms are identified early, turning emergency repairs into planned maintenance and reducing production-line interruptions.

Longer equipment life

Maintenance and operating strategy follow real operating conditions, slowing the degradation of key components.

Lasting efficiency gains

Strategies adapt to load and season, so energy savings hold over time instead of fading after a one-off tune-up.

Data-driven iteration

Fleet operating data flows back to inform model optimization and new product development.

Learn more → OEM IoT solution

Make every air compressor a connected, early-warning, self-optimizing smart machine.

Key specifications

AIRKore key specifications

PositioningNext-generation package control and IoT controller for air compressor OEMs
ControlStart, stop, load, unload, pressure control, operating strategy and full interlock protection; 3 modes — local / networked / group control
I/O expansion48-point high-integration I/O base; one platform fits multiple model series
Field dataPressure, temperature, current, oil temperature, vibration, operating status, alarms, running hours and key event records
ConnectivityBuilt for industrial interfaces including RS485, CAN, Ethernet and Modbus; native cloud connectivity, no add-on gateway
Edge intelligenceLocal control and protection algorithms, edge AI inference, per-unit baseline, works offline
Cloud dataLong-term data archiving, fleet-wide analysis, energy strategy optimization, OTA model updates
Use casesFactory-fit on new units, model platform upgrades, and building OEM device IoT and service capabilities

Joint testing

Pre-install intelligence on your next-generation models

We provide prototype adaptation and joint testing support. Tell us your target model series and control requirements, and our engineers will recommend a controller configuration and integration plan.

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