RGB-D · RADAR · CCTV
Collect water level, vision, site video, and equipment status.
PADAK · FIELD PROOF · 2026
Algae removal equipment
Industrial Physical AI Integrated control
RGB-D·RADAR·CCTV recognizes the scene, and Algae Agent and Hoist Agent create driving decisions. It controls the gate, inserter, plasma system, and hoist through the MCU safety/control layer and PLC interlock, and feeds back the facility status and sensor data.
OPERATOR EVIDENCE
Actual AI Perception screen
Check Perception, Agent, Sensor status and on-site images on AI HUD.
CCTV & HMI
Cross-check logic status and actual field footage
Check Padak Native HMI and CCTV Viewer together.
CAM1PTZ patrol around the site
CAM2Inside the purification tank
CAM3Hydrological and upstream conditions
CAM4AI Perception · AI HUD
Padak Native HMIEquipment status · Control · Event · AUTO/MANUAL · E-STOP
CCTV Viewer4-channel on-site video cross-checking
CLOSED-LOOP INDUSTRIAL PHYSICAL AI
Connects from perception to equipment feedback in one control loop
Sensor/image input, local AI Agent judgment, MCU/PLC safety control, actual facility operation and status feedback are configured into one closed loop. The judgment of AI Agent is executed as the final equipment output after verification of MCU safety/priority control and PLC interlock.
Algae · Hoist Agents
Generates a control request by determining the need for algae cleanup and hoist alignment.
MCU Control Layer
AI requests and operator commands are verified along with safety conditions and operating conditions.
PLC · Interlock
By applying field interlock and control logic, it delivers output that satisfies safety conditions.
Gate · Ejector Pump · Plasma · Hoist
Field equipment operates according to verified control output.
FEEDBACK ↺Sensor values · PLC / Equipment State · Event Log · CCTV are fed back to HMI and control loop.
LOCAL AI AGENTS
Separate on-site decision roles into agents
algae determination and purification request
By combining sensor and vision information, it determines the status of algae and generates a purification operation request.
Buoy recognition/height alignment
It checks position status based on vision and generates control requests for hoist alignment.
CONTROLLED FIELD TARGETS
Manage actual field equipment as an independent control object
Gate 1 · Gate 2
Controls the hydrological conditions of the purification section.
Inserter 1 · Inserter 2
Contaminated water and plasma in the tank are instantly mixed with an ejector pump and discharged out of the tank.
Plasma A · Plasma B
Control the plasma purification device after checking the pump flow rate and safety conditions.
Hoist
Control the hoist position according to site conditions and safety conditions.
PROCESS FLOW
Purification operation is carried out in the order in which safety conditions have been passed.
01Isolation of purification sectionCheck the gate status.
02Supply and circulation of contaminated waterThe ejector pump supplies and circulates contaminated water to the purification system.
03plasma purificationOperate the plasma system after checking the flow rate and safety interlock conditions.
04Status monitoring/safe shutdownEnd operation by checking equipment status and sensor feedback.
Control Topology ≠ Process Flow
The control architecture and actual process sequence are constructed from different perspectives, and detailed operating conditions and control settings are applied in accordance with the field environment and safety requirements.
SAFETY ARCHITECTURE
Multi-tier structure prioritizing safety control
PLC Physical Interlock
Mandatory physical interlocks and safety conditions apply.
MCU Control Safeguard
AI requests and operator commands are verified along with operational status.
HMI Safety Monitoring
Check AUTO/MANUAL, E-STOP, equipment status and events.
Sensor · Decision Fallback
Maintain safety with heterogeneous sensors and control fallback.
INDUSTRIAL PHYSICAL AI
Are you considering building a connection between field equipment and AI?
We review the scope of application of the Industrial Physical AI system that connects sensor/vision, AI Agent, safety control layer and PLC/equipment.
Industrial Physical AI Inquiry on introduction and construction