Avi Patel
03 / Systems & Workflows
AeroLab
A six-degree-of-freedom simulation workspace for vehicle motion, sensor faults, estimator experiments, and telemetry review.
Python · NumPy · 6DOF dynamics · Sensor models
Simulation2026
11 / Independent industrial simulation
Smart Factory Digital Twin
Make the control state visible to the operator.
A deterministic factory-cell simulator connecting control state, alarms, downtime, historian data, and OEE reporting.
- Context
- Independent industrial simulation
- When
- 2026
- Stage
- Browser simulation
- Tools & methods
- PLC-style logic · HMI · Python · SQLite · OEE · State machines
01 / Context
The problem
An operator needs to understand how the state of a production cell relates to its alarms, downtime, and performance indicators. A simulation can make those relationships visible and repeatable without access to a plant.
02 / Ownership
My contribution
I built a simulated packaging-cell workflow with PLC-style scan and state logic, HMI-style controls, alarm and trend views, and a Python/SQLite historian path. OEE reporting connects simulated production behavior to a familiar operational measure.
03 / Architecture
How it works
- 01
Control
Advance the simulated cell with deterministic PLC-style scan and state logic.
- 02
Observe
Display component status and operator controls in an HMI-style interface.
- 03
Record
Connect events and trends to a historian and reporting workflow.
- 04
Explain
Relate simulated downtime and production events to OEE and maintenance views.
04 / Validation
Evidence & scope
- Public simulation source and browser demonstration.
- Visible cell state, alarms, control behavior, and reporting interfaces.
- Historian and event-data workflows in the project architecture.
Project scope
Software simulation. No live PLC, industrial network, physical production cell, or factory deployment is connected.
05 / Perspective
Engineering takeaway
A status dashboard is more useful when its numbers can be traced to state transitions and events. Deterministic simulation helps explain that causal chain.