Industrial-grade professional apps

1 ms high-speed output · AI direct control of lines & industrial systems

Edge KortexFlow brain-inspired world model—direct Modbus, MQTT, OPC UA, CAN, and PLC. Survive network loss with 100% local physical hard closed-loop for equipment, lines, and edge sites.

Field data & industrial protocol bridges

Direct Modbus, MQTT, OPC UA, CAN, PLC, sensors, actuators, and field data—full-stack physical hard real-time paths.

01 / PROTOCOL

Modbus industrial register mapping

Protocol: TCP/RTU physical gateway Latency: ≤1.5ms Points: 50k+
02 / PROTOCOL

MQTT edge message bus

Protocol: lightweight edge pub/sub Latency: ≤2.0ms Throughput: 100k+/s
03 / PROTOCOL

OPC UA unified data bridge

Protocol: industrial interoperability model Latency: ≤3.0ms Multi-source mapping: full
04 / PROTOCOL

CAN bus field hard real-time

Protocol: physical hard real-time differential bus Latency: ≤0.8ms Redundancy: physical
05 / CONTROLLER

PLC direct mapping

Support: Siemens / Beckhoff / Omron Mode: bidirectional register share (DB blocks)
06 / SENSOR

High-precision physical sensors

Acquire: 10kHz acoustic, vibration, thermal IR Map: real-time features & time-series input
07 / ACTUATOR

Smart physical actuators

Drive: servo drives, high-speed pneumatic valves Response: 1ms direct torque/angle self-heal
08 / DATA

Industrial field structured data

Fusion: SCADA / MES / digital-twin point clouds State: unified full-dimension physical awareness

3D immersive field space

AI enters equipment, lines, and edge sites—1 ms closed-loop direct control of the physical world.

01 / DEVICE EDGE

Equipment side

High-speed motors, hydraulic spindles, high-torque arms. Micron jitter, abnormal friction, current spikes—if not corrected, scrap or burned bearings in tens of ms.

Brain-inspired world model subscribes to sensor streams, skips IPC hops, recomputes servo torque compensation in 1 ms—kills chatter before wear.
02 / LINE EDGE

Line side

Linked conveyors, flexible assembly, spray/weld cells. A 0.1 mm upstream error with rigid downstream logic scraps the whole batch.

Fuse the line over the physical bus. Upstream anomaly → world model recomputes process params and rewrites downstream PLC moves in 1 ms—no slowdown, yield self-heals.
03 / FIELD EDGE

Edge site

Explosion-proof cameras, plant edge cabins, air-gapped nets. Trace flammable leaks, unsafe ops—cloud AI goes dark when the wire is cut.

Local Mamba state nets run 100% offline. Fuse explosion-proof video, IR, and gas sensors for sub-second environmental safety loops.

Four hardcore service consoles

Anomaly early warning, predictive maintenance, process optimization, safety governance—industrial SCADA driven by the brain-inspired world model.

A. ANOMALY DETECTION

Anomaly early warning

Rolling multi-step physical forecasts catch leaks/overload trends 1–3s early—millisecond intercept with near-zero miss.

78Hz ───/ __/ _/ _\__________ Normal
220Hz ──/ _/ \/\/\_/ _/ _/ _\ Drift
>> 1ms foresight: overload in 3s! (orange)
B. PREDICTIVE MAINTENANCE

Predictive maintenance

Mine weak acoustics and temperature drift from high-rate sensors to predict valve/motor/pump fatigue and recommend optimal downtime—drive unplanned downtime toward zero.

Bearing life (RUL): 84%
[|||||||||||||||||||.......] 24 days
Root cause: outer-race micro-spalling; service next week
C. PROCESS OPTIMIZATION

Process optimization

Enter the control loop. Dynamically tune temperature, mix, speed, and pressure at sub-ms precision to find the optimal operating window—quality, throughput, and energy balanced.

Yield Rate Energy
[99.982%] up [down 14.2%] down
Adaptive control: auto fine-tune pressure/temperature mix
D. HSE SMART SECURITY

Safety governance

Cross-check vision and physical sensors. Guard furnaces, chemical zones, and conveyors—detect PPE violations, intrusion, and smoke in seconds; interlock explosion-proof doors.

Explosion-proof cam-3: [OK]
Zone 4 (furnace): non-compliant PPE
>> Status: 1ms auto alarm closed-loop lock

1 ms extreme closed loop hard real-time control architecture

From sensor sample to actuator self-heal, KortexFlow closes sub-ms sense–predict–act loops at the edge—fully local, zero cloud dependency.

KortexFlow edge direct-control chain

0.98 ms
1
High-rate field sensor sampling
CAN / Modbus / 4–20mA physical bus
0.2ms
2
KortexFlow brain-inspired world model
100% offline edge Mamba state-net prediction
0.6ms
3
Control frames injected to PLC / servo
CANopen / EtherCAT hard real-time bus
0.98ms
4
Actuator physical closed-loop self-heal done
Arms/conveyors/proportional valves back to steady state
1.2ms
Clock jitter < 5μs
Control frequency 1,000 Hz
Local inference 100%
Physical self-heal 1.2ms
Disturbance injection simulator
[STATUS] System ready. All physical nodes nominal. Telemetry sample rate: 1000Hz | Edge gateway online

Edge hardware specs & deployment

Rugged edge chassis—wide-temp, dust/explosion-proof compliant base—from survey to air-gap deploy.

01

Site survey & physical adaption

1:1 senior industrial experts map PLC, SCADA protocols, cameras, and sensors—custom topology adapters.

50+ mainstream industrial protocols
02

Zero-risk digital-twin simulation

Before hardware arrives, build 1:1 digital twins in a sandbox on the KortexFlow world model for stress tests and path optimization.

Motion/collision sim accurate to millimeters
03

Local all-in-one install & air-gap

Custom KortexFlow industrial appliance and edge gateway—plug and play. Supports absolute air-gapped deploy.

100% offline autonomy—no public network
04

Decision self-heal & long-term care

After go-live, edge state machines watch nodes 24h. Anomalies trigger ms-level self-heal with local audit and one-click rollback.

Soft/hard fault self-heal rate up to 99.8%