Reactor: Advanced Hydraulic Tank & Biological Process Simulator A comprehensive reactor class for wastewater treatment simulation featuring plug flow hydraulics, ASM1-ASM3 biological modeling, and multi-sectional concentration tracking. Implements hydraulic retention time calculations, dispersion modeling, and real-time biological reaction kinetics for accurate process simulation. Key Features: Plug Flow Hydraulics: Multi-section reactor with configurable sectioning factor and dispersion modeling ASM1 Integration: Complete biological nutrient removal modeling with 13 state variables (COD, nitrogen, phosphorus) Dynamic Volume Control: Automatic section management with overflow handling and retention time calculations Oxygen Transfer: Saturation-limited O2 transfer with Fick's law slowdown effects and solubility curves Real-time Kinetics: Continuous biological reaction rate calculations with configurable time acceleration Weighted Averaging: Volume-based concentration mixing for accurate mass balance calculations Child Registration: Integration with diffuser systems and upstream/downstream reactor networks Supports complex biological treatment train modeling with temperature compensation, sludge calculations, and comprehensive process monitoring for wastewater treatment plant optimization and regulatory compliance.
Updated 2025-12-05 01:28:01 +00:00
RnD/ EVOLV Template
EVOLV – Comprehensive Node-RED Automation Ecosystem Core: • Measurement & Monitoring: dynamic sensor config, scaling, smoothing • Equipment Control: rotating machines, valves, actuators, exchangers • Group Management: coordinated control of machine/valve/gate groups • Process Modeling: ASM1, diffuser modeling, reactor dynamics • Predictive Analytics: LSTM forecasting, interpolation, error analysis • Dashboard Integration: automated Grafana dashboard generation • Data Processing: unit conversion, physics, structured outputs Integration: Built on GeneralFunctions library with TensorFlow.js support for real-time process optimization.
Updated 2025-11-30 19:13:36 +00:00
Updated 2025-11-30 19:13:26 +00:00
GeneralFunctions – Node-RED Utility Library Features: • Dynamic Menu System: auto-generates asset/logger/position menus • Measurement Processing: scaling, smoothing, outlier detection • Config Management: schema validation, JSON defaults • Predictive Analytics: LSTM, interpolation, error metrics • State Management: generic state machine for equipment control • Data Conversion: physics-based unit conversion • Child Registration: manage upstream/downstream node relationships • Asset Curve Loading: integrate performance curve data • Logging & Output: structured logging & validation Integration: Provides modular utilities for all automation nodes with selective imports.
Updated 2025-11-30 16:45:52 +00:00
RotatingMachine – Advanced Equipment Control & Performance Analytics Features: • Multi-Curve Predictions: flow, power, and control using manufacturer curves with pressure compensation • State-Based Control: automated startup/shutdown with configurable timing & safety interlocks • Performance Analytics: efficiency calculations, BEP distance tracking, CoG optimization • Child Registration: integrates with measurement nodes for closed-loop control • Drift Assessment: NRMSE-based degradation detection & predictive maintenance alerts • Multi-Mode Operation: manual, automatic, emergency modes with source/action validation • Safety Systems: emergency stop, validation, error handling Integration: Provides real-time optimization and performance monitoring for industrial rotating equipment.
Updated 2025-11-30 08:24:40 +00:00
Sludge settler node
Updated 2025-11-28 12:59:44 +00:00
Monster – AI-Powered Wastewater Sampling Automation Features: • Predictive Sampling: LSTM-based flow prediction with 24h precipitation forecasts • Calendar Integration: AQUON lab scheduling for automated sampling • Volume Optimization: dynamic pulse calculation for representative samples • Weather Correlation: multi-location precipitation aggregation & probability weighting • Safety Systems: bucket overflow, min/max volume, weight monitoring • Real-time Processing: continuous flow calculation with configurable sampling windows • Event-Driven Architecture: Node-RED EventEmitter integration Integration: Uses weather APIs, lab schedules, and TensorFlow.js ML models for autonomous wastewater sampling with predictive flow optimization.
Updated 2025-11-25 15:19:17 +00:00
Monster – AI-Powered Wastewater Sampling Automation Features: • Predictive Sampling: LSTM-based flow prediction with 24h precipitation forecasts • Calendar Integration: AQUON lab scheduling for automated sampling • Volume Optimization: dynamic pulse calculation for representative samples • Weather Correlation: multi-location precipitation aggregation & probability weighting • Safety Systems: bucket overflow, min/max volume, weight monitoring • Real-time Processing: continuous flow calculation with configurable sampling windows • Event-Driven Architecture: Node-RED EventEmitter integration Integration: Uses weather APIs, lab schedules, and TensorFlow.js ML models for autonomous wastewater sampling with predictive flow optimization.
Updated 2025-11-25 14:29:49 +00:00
MachineGroup – Intelligent Multi-Machine Coordination Features: • Optimal Control: CoG-based flow distribution for minimum power use • Priority Control: sequential operation with priority lists & load balancing • Percentage Control: normalized 0–100% with staging & balancing • Dynamic Pressure Equalization: automatic synchronization • Efficiency Analytics: real-time BEP distance & efficiency monitoring • Curve-Based Predictions: multi-dimensional interpolation • Child Registration: auto-integration with measurement/control nodes • Safety Logic: alarms, warnings, hysteresis, validation Integration: Provides intelligent automation for industrial equipment groups with predictive maintenance.
Updated 2025-11-25 14:10:40 +00:00
GeneralFunctions – Node-RED Utility Library Features: • Dynamic Menu System: auto-generates asset/logger/position menus • Measurement Processing: scaling, smoothing, outlier detection • Config Management: schema validation, JSON defaults • Predictive Analytics: LSTM, interpolation, error metrics • State Management: generic state machine for equipment control • Data Conversion: physics-based unit conversion • Child Registration: manage upstream/downstream node relationships • Asset Curve Loading: integrate performance curve data • Logging & Output: structured logging & validation Integration: Provides modular utilities for all automation nodes with selective imports.
Updated 2025-11-24 08:30:52 +00:00
ValveGroupControl – Intelligent Multi-Valve Flow Distribution System Features: • Proportional Flow Distribution: automatic allocation using Kv values • Delta-P Optimization: real-time max ΔP calculations across valves • Multi-Mode Operation: manual, automatic, emergency modes • Sequence Management: startup, shutdown, emergency handling • Child Registration: integrates seamlessly with valve nodes • Real-time Analytics: flow, pressure, performance monitoring • Safety Systems: emergency stop, validation, error handling Integration: Works with measurement containers, state machines, and utilities to provide real-time flow optimization and monitoring.
Updated 2025-11-18 07:17:15 +00:00
MachineGroup – Intelligent Multi-Machine Coordination Features: • Optimal Control: CoG-based flow distribution for minimum power use • Priority Control: sequential operation with priority lists & load balancing • Percentage Control: normalized 0–100% with staging & balancing • Dynamic Pressure Equalization: automatic synchronization • Efficiency Analytics: real-time BEP distance & efficiency monitoring • Curve-Based Predictions: multi-dimensional interpolation • Child Registration: auto-integration with measurement/control nodes • Safety Logic: alarms, warnings, hysteresis, validation Integration: Provides intelligent automation for industrial equipment groups with predictive maintenance.
Updated 2025-11-17 14:29:23 +00:00
EVOLV – Comprehensive Node-RED Automation Ecosystem Core: • Measurement & Monitoring: dynamic sensor config, scaling, smoothing • Equipment Control: rotating machines, valves, actuators, exchangers • Group Management: coordinated control of machine/valve/gate groups • Process Modeling: ASM1, diffuser modeling, reactor dynamics • Predictive Analytics: LSTM forecasting, interpolation, error analysis • Dashboard Integration: automated Grafana dashboard generation • Data Processing: unit conversion, physics, structured outputs Integration: Built on GeneralFunctions library with TensorFlow.js support for real-time process optimization.
Updated 2025-11-17 10:29:35 +00:00
RotatingMachine – Advanced Equipment Control & Performance Analytics Features: • Multi-Curve Predictions: flow, power, and control using manufacturer curves with pressure compensation • State-Based Control: automated startup/shutdown with configurable timing & safety interlocks • Performance Analytics: efficiency calculations, BEP distance tracking, CoG optimization • Child Registration: integrates with measurement nodes for closed-loop control • Drift Assessment: NRMSE-based degradation detection & predictive maintenance alerts • Multi-Mode Operation: manual, automatic, emergency modes with source/action validation • Safety Systems: emergency stop, validation, error handling Integration: Provides real-time optimization and performance monitoring for industrial rotating equipment.
Updated 2025-11-17 10:27:19 +00:00
Updated 2025-11-17 10:27:12 +00:00
MachineGroup – Intelligent Multi-Machine Coordination Features: • Optimal Control: CoG-based flow distribution for minimum power use • Priority Control: sequential operation with priority lists & load balancing • Percentage Control: normalized 0–100% with staging & balancing • Dynamic Pressure Equalization: automatic synchronization • Efficiency Analytics: real-time BEP distance & efficiency monitoring • Curve-Based Predictions: multi-dimensional interpolation • Child Registration: auto-integration with measurement/control nodes • Safety Logic: alarms, warnings, hysteresis, validation Integration: Provides intelligent automation for industrial equipment groups with predictive maintenance.
Updated 2025-11-17 10:27:02 +00:00
Measurement – Advanced Sensor Data Processing & Analytics Features: • Signal Processing: 12+ smoothing methods (Kalman, Savitzky-Golay, median, filters) • Data Validation: outlier detection with Z-score, IQR, thresholds • Scaling & Calibration: interpolation, offset, range validation • Statistical Analytics: repeatability, stability, standard deviation monitoring • Simulation Mode: built-in signal generator with noise injection • Container Integration: seamless with MeasurementContainer for data flow • Event-Driven Architecture: EventEmitter-based notifications • Configurable Logging: multi-level, schema-based config Integration: Provides robust sensor data streams for industrial automation with TensorFlow.js-ready outputs.
Updated 2025-11-13 18:38:29 +00:00
DashboardAPI – Dynamic Grafana Dashboard Generator Features: • Template Fetching: load JSON templates by software type • Dynamic Templating: inject measurement/bucket names • Grafana-Compatible: JSON output with overwrite support • Config Management: integrated logging & validation • EventEmitter: Node-RED integration for real-time dashboards Integration: Automates Grafana dashboards for monitoring industrial automation nodes.
Updated 2025-11-13 18:38:12 +00:00
Valve – Intelligent Control Valve Automation & Flow Management Features: • Hydraulic Modeling: real-time ΔP calculations with Kv curves, air density & temperature compensation • Multi-Mode Control: manual, automatic, emergency modes with validation & safety interlocks • State-Based Sequencing: automated startup/shutdown with configurable timing & position control • Flow Prediction: curve-based flow using valve characteristics & pressure measurements • Child Registration: seamless integration with measurement nodes for closed-loop control • Safety Systems: emergency stop, validation, error handling • Real-time Analytics: monitoring of valve position, flow rates, pressure differentials Integration: Works with containers, state machines, interpolation engines, and prediction models for real-time optimization and hydraulic performance monitoring.
Updated 2025-11-11 12:53:47 +00:00
RotatingMachine – Advanced Equipment Control & Performance Analytics Features: • Multi-Curve Predictions: flow, power, and control using manufacturer curves with pressure compensation • State-Based Control: automated startup/shutdown with configurable timing & safety interlocks • Performance Analytics: efficiency calculations, BEP distance tracking, CoG optimization • Child Registration: integrates with measurement nodes for closed-loop control • Drift Assessment: NRMSE-based degradation detection & predictive maintenance alerts • Multi-Mode Operation: manual, automatic, emergency modes with source/action validation • Safety Systems: emergency stop, validation, error handling Integration: Provides real-time optimization and performance monitoring for industrial rotating equipment.
Updated 2025-11-06 08:34:40 +00:00