Modules and Components for Industrial Reactive Plants simulations, modelling and design.®℠🅪™© 🤝💡

ThermoGuard-style reactor simulation (Python)

- Discretized reaction-diffusion in axial coordinate

- Delayed cooling implemented as a delayed feedback term

- RK4 integrator with history buffer for delays

Extended ThermoGuard core (Python reference)

Features:

 - multiphase reactive transport (axial)

 - catalyst deactivation kinetics (coke model)

 - soft-sensor fusion (PLS surrogate for composition)

 - open thermal-imaging hotspot interface (placeholder)

 - integrates with existing RK4 DDE solver (explicit)

Validate historian extracts and produce a sanitized Parquet bundle ready for ThermoGuard.

Parameterized GELU (P-GELU) - State-of-the-Art Activation Function

SG-Blend: Dynamic Interpolation Between Improved Swish and GELU

thermoguard_consolidated_v2_extended.py

ThermoGuard – Extended industrial reactor simulator.

- Realistic thermal resistance network for cooling.

- Flow‑dependent diffusivities (axial dispersion model).

- Full parameter table automatically exported.

- Sweeps over k1 and cooling delay h.

- CSV export, PNG+PDF plots, CLI, Jupyter interactive mode.

Physics Engine. Delay aware reactive system regulator with integrator, interpolator, parametric sweep and DDE solver-integrator with simple 3 states extendable classifier and map picturing.

Adaptive Activation Selector - Prevents Entropic Overload in Early Layers

Comprehensive loss function suite with industrial variants

Implements both classification and regression losses with density modulation

Implements training density modulation based on gradient analysis

Enhanced with industrial-grade precision targeting ±0.005 g/cm³

Multimodal model with adaptive activations and industrial precision

Dual-mode real-time feedback controller with feedforward + feedback control

- Feedforward predictive control based on process model

- Feedback corrective control based on real-time measurements

- Fuzzy PID adaptation for non-linear processes

- Self-learning parameter optimization

Program 1 – Evacuation Route Optimizer (Heap‑based Priority Queue)

Enhanced transfer learning across different domains/materials

Enhanced visualization tools with robust error handling

Production server for density control system with 2025 industrial standards

Improved, modular NNMPC example for a jacketed CSTR.

PFR Steady-State Concentration Profile

Obtain an OAuth2 client credentials token for Partner Center using MSAL.

Compute simple stability metrics and event times.

Industry-optimized feature engineering with parsimonious design

Returns only top-20 most predictive features ranked by importance

Parsimonious feature selection with automatic pruning

Retains only statistically significant features

Industrial-grade risk assessment for currency models

Implements transaction cost analysis and risk constraints

Comprehensive risk-adjusted performance evaluation

Includes transaction costs and drawdown constraints

High-value prediction engine for 2027 with scenario analysis

Optimized for industrial decision-making and risk management

#Physics Engine. 

ThermoGuard – Delay‑Aware Stability Analysis

Option A: explicit RK4 DDE engine (Python 3.11)

Delay‑Aware Stability Analysis for Exothermic Tubular Reactors

Increase Throughput. Improve Safety.

ThermoGuard-style reactor simulation (Python)

- Discretized reaction-diffusion in axial coordinate

- Delayed cooling implemented as a delayed feedback term

- RK4 integrator with history buffer for delays

- Discretized reaction-diffusion reactor with delayed cooling

- RK4 integrator with history buffer for delays

- Parameter sweep over k1 and delay h

- Computes: label (runaway if Tmax_delta > runaway_threshold),

 Tmax (delta T = Tmax - 300 K), concentration variance at mid-point

- Saves CSVs and PNG heatmaps

- Includes simple unit tests (safe and runaway cases)

- Production runaway_threshold set to 200.0 K

Full parameter set from modern SR/FT/methanation

ThermoGuard consolidated script:

- Robust RK4 solver with delay history

- Parameter sweep over k1 and cooling delay h

- CSV export with axis labels

- Publication-quality PNG and PDF plots with contours and annotated thresholds

- CLI for parameters and thresholds

- Unit tests (safe and diagnostic runaway)

ThermoGuard simulates nonlinear reaction–diffusion dynamics with delayed cooling and evaluates Lyapunov–Krasovskii functionals to classify operating regimes as safe, borderline, or runaway.

Key Capabilities

Delay‑aware reactor simulation

Hot‑spot and runaway prediction