Engineering Lab
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Engineering Lab
Hands-on demonstrations bridging Industrial Automation and Modern Software Engineering — the intersection of Process Control, AI, and Full-Stack Development.
Control Arena
PID Controller vs AI Agent — compete on a non-linear pH neutralization process
🏭 Tank Level Control Arena
Compare: Your PID vs Reference vs Custom
Custom Python
# Basic PID Controller Kp = 12.0 # Proportional Ki = 0.8 # Integral Kd = 2.0 # Derivative integral = 0 last_error = 0 def custom_controller(error, dt=0.1): global integral, last_error integral = max(-50, min(50, integral + error * dt)) derivative = (error - last_error) / dt output = 50 + Kp * error + Ki * integral + Kd * derivative last_error = error return max(0, min(100, output))
🧪 The Challenge
pH control is notoriously difficult due to the non-linear 'S-Curve'. Near pH 7, small changes cause massive swings.
🎛️ Quick Tune Mode
Adjust P, I, D parameters with sliders. Watch how each affects overshoot, settling time, and oscillation.
💻 Code Editor Mode
Write your own controller in Python. Implement advanced algorithms like Model Predictive Control (MPC).
Control Stack
DCS Signal Architecture — watch data flow from field instrument to cloud historian
DCS Signal Architecture
Understand how field signals flow through a DCS system
Understanding the Signal Path
Physical Layer (4-20mA)
The transmitter converts physical temperature into a 4-20mA current signal. This "live zero" design means 0mA indicates a fault (broken wire), while 4mA represents the minimum reading.
Digital Conversion (ADC)
The I/O card's 12-bit ADC converts the analog signal to 0-4095 counts. The DCS then scales this back to engineering units (°C) using the configured range (0-200°C).
Latency & Eventual Consistency
Notice the animation delay between layers. In real plants, the HMI updates in milliseconds, but historian archiving may take seconds due to network polling and compression.
IT/OT Convergence
This demonstrates the "Purdue Model" — from Level 0 (Field) through Level 1-2 (Control) to Level 4 (Enterprise/Cloud). Modern plants now stream data directly to cloud historians.
SCADA Control Lab
Complete industrial automation training: Protocols, Architecture, HMI, and Troubleshooting
SCADA Control Lab
Industrial automation training environment for control & instrument engineers
Purdue Model Architecture
Active Alarms (0)
📟 Industrial Protocols
Explore Modbus RTU/TCP frame structure with CRC validation, and OPC UA browse trees. See actual hex bytes on the wire.
🏭 Purdue Model
Visualize the ISA-95 architecture from Level 0 (Field Devices) through Level 2 (SCADA Server) to Level 3 (HMI/Historian).
🖥️ HMI Faceplates
ISA-101 style faceplates with live trends, alarm limits, and mode selection (Auto/Manual/Cascade).
🔧 Troubleshooting
Practice diagnosing common SCADA issues: communication timeouts, CRC errors, scale mismatches, and stale data.