# Pump Control Preprocessing Implementation Summary ## Overview Successfully implemented configurable pump control preprocessing logic for converting MPC outputs to pump actuation signals in the Calejo Control system. ## What Was Implemented ### 1. Core Pump Control Preprocessor (`src/core/pump_control_preprocessor.py`) - **Three configurable control logics**: - **MPC-Driven Adaptive Hysteresis**: Primary logic for normal operation with MPC + live level data - **State-Preserving MPC**: Enhanced logic to minimize pump state changes - **Backup Fixed-Band Control**: Fallback logic for when level sensors fail - **State tracking**: Maintains pump state and switch timing to prevent excessive cycling - **Safety integration**: Built-in safety overrides for emergency conditions ### 2. Integration with Existing System - **Extended preprocessing system**: Added `pump_control_logic` rule type to existing preprocessing framework - **Setpoint manager integration**: New `PumpControlPreprocessorCalculator` class for setpoint calculation - **Protocol mapping support**: Configurable through dashboard protocol mappings ### 3. Configuration Methods - **Protocol mapping preprocessing**: Configure via dashboard with JSON rules - **Pump metadata configuration**: Set control logic in pump configuration - **Control type selection**: Use `PUMP_CONTROL_PREPROCESSOR` control type ## Key Features ### Safety & Reliability - **Safety overrides**: Automatic shutdown on level limit violations - **Minimum switch intervals**: Prevents excessive pump cycling - **State preservation**: Minimizes equipment wear - **Fallback modes**: Graceful degradation when sensors fail ### Flexibility - **Per-pump configuration**: Different logics for different pumps - **Parameter tuning**: Fine-tune each logic for specific station requirements - **Multiple integration points**: Protocol mappings, pump config, or control type ### Monitoring & Logging - **Comprehensive logging**: Each control decision logged with reasoning - **Performance tracking**: Monitor pump state changes and efficiency - **Safety event tracking**: Record all safety overrides ## Files Created/Modified ### New Files - `src/core/pump_control_preprocessor.py` - Core control logic implementation - `docs/PUMP_CONTROL_LOGIC_CONFIGURATION.md` - Comprehensive documentation - `examples/pump_control_configuration.json` - Configuration examples - `test_pump_control_logic.py` - Test suite ### Modified Files - `src/dashboard/configuration_manager.py` - Extended preprocessing system - `src/core/setpoint_manager.py` - Added new calculator class ## Testing - **Unit tests**: All three control logics tested with various scenarios - **Integration tests**: Verified integration with configuration manager - **Safety tests**: Confirmed safety overrides work correctly - **Import tests**: Verified system integration ## Usage Examples ### Configuration via Protocol Mapping ```json { "preprocessing_enabled": true, "preprocessing_rules": [ { "type": "pump_control_logic", "parameters": { "logic_type": "mpc_adaptive_hysteresis", "control_params": { "safety_min_level": 0.5, "adaptive_buffer": 0.5 } } } ] } ``` ### Configuration via Pump Metadata ```sql UPDATE pumps SET control_type = 'PUMP_CONTROL_PREPROCESSOR', control_parameters = '{ "control_logic": "mpc_adaptive_hysteresis", "control_params": { "safety_min_level": 0.5, "adaptive_buffer": 0.5 } }' WHERE station_id = 'station1' AND pump_id = 'pump1'; ``` ## Benefits 1. **Improved pump longevity** through state preservation 2. **Better energy efficiency** by minimizing unnecessary switching 3. **Enhanced safety** with multiple protection layers 4. **Flexible configuration** for different operational requirements 5. **Graceful degradation** when sensors or MPC fail 6. **Comprehensive monitoring** for operational insights ## Next Steps - Deploy to test environment - Monitor performance and adjust parameters - Extend to other actuator types (valves, blowers) - Add more sophisticated control algorithms