autonomous_calibration_engine.AutonomousCalibrationEngine Class Reference

Public Member Functions
	__init__ (self, int n_sensors=16, int n_params=9, float forgetting_factor=0.995)
	add_calibration_point (self, int sensor_id, np.ndarray design_vector, float pressure, float uncertainty=0.05)
Tuple[float, float, Optional[CalibrationRequest]]	predict (self, int sensor_id, np.ndarray design_vector, Optional[float] adc_code=None)
Dict	get_system_status (self)
Dict	export_learned_prior (self)
	import_learned_prior (self, Dict data)

Public Attributes
	n_sensors = n_sensors
	n_params = n_params
	prior_evolution = AdaptivePriorEvolution(n_params, forgetting_factor)
	active_learner = ActiveLearningAgent(n_sensors, n_params)
dict	online_learners
int	total_calibrations = 0
int	autonomous_requests = 0
	start_time = time.time()

Protected Member Functions
	_propagate_prior_to_sensors (self)

Detailed Description

Main autonomous calibration engine integrating all components.

Features:
- Learns and evolves priors from all sensors
- Requests calibration when needed
- Adapts to drift and changes
- Provides confidence-aware predictions

Definition at line 530 of file autonomous_calibration_engine.py.

Constructor & Destructor Documentation

__init__()

autonomous_calibration_engine.AutonomousCalibrationEngine.__init__	(		self,
		int	n_sensors = 16,
		int	n_params = 9,
		float	forgetting_factor = 0.995 )

Definition at line 541 of file autonomous_calibration_engine.py.

Member Function Documentation

_propagate_prior_to_sensors()

autonomous_calibration_engine.AutonomousCalibrationEngine._propagate_prior_to_sensors ( self )

protected

Propagate improved population prior to all sensors.
Each sensor blends global prior with its own data.

Definition at line 613 of file autonomous_calibration_engine.py.

add_calibration_point()

autonomous_calibration_engine.AutonomousCalibrationEngine.add_calibration_point	(		self,
		int	sensor_id,
		np.ndarray	design_vector,
		float	pressure,
		float	uncertainty = 0.05 )

Add calibration point and update system.

This is called when user provides a pressure reading.
The system learns from this and improves its prior.

Definition at line 569 of file autonomous_calibration_engine.py.

export_learned_prior()

Dict autonomous_calibration_engine.AutonomousCalibrationEngine.export_learned_prior

(

self

)

Export learned prior for saving

Definition at line 692 of file autonomous_calibration_engine.py.

get_system_status()

Dict autonomous_calibration_engine.AutonomousCalibrationEngine.get_system_status

(

self

)

Get comprehensive system status

Definition at line 664 of file autonomous_calibration_engine.py.

import_learned_prior()

autonomous_calibration_engine.AutonomousCalibrationEngine.import_learned_prior	(		self,
		Dict	data )

Import previously learned prior

Definition at line 703 of file autonomous_calibration_engine.py.

predict()

Tuple[float, float, Optional[CalibrationRequest]] autonomous_calibration_engine.AutonomousCalibrationEngine.predict	(		self,
		int	sensor_id,
		np.ndarray	design_vector,
		Optional[float]	adc_code = None )

Predict pressure with uncertainty and possibly request calibration.

Returns: (pressure, uncertainty, calibration_request)

Definition at line 634 of file autonomous_calibration_engine.py.

Member Data Documentation

active_learner

autonomous_calibration_engine.AutonomousCalibrationEngine.active_learner = ActiveLearningAgent(n_sensors, n_params)

Definition at line 551 of file autonomous_calibration_engine.py.

autonomous_requests

autonomous_calibration_engine.AutonomousCalibrationEngine.autonomous_requests = 0

Definition at line 561 of file autonomous_calibration_engine.py.

n_params

autonomous_calibration_engine.AutonomousCalibrationEngine.n_params = n_params

Definition at line 545 of file autonomous_calibration_engine.py.

n_sensors

autonomous_calibration_engine.AutonomousCalibrationEngine.n_sensors = n_sensors

Definition at line 544 of file autonomous_calibration_engine.py.

online_learners

dict autonomous_calibration_engine.AutonomousCalibrationEngine.online_learners

Initial value:

=  {
            i: OnlineBayesianLearner(i, prior_mean, prior_cov) for i in range(n_sensors)
        }

Definition at line 555 of file autonomous_calibration_engine.py.

prior_evolution

autonomous_calibration_engine.AutonomousCalibrationEngine.prior_evolution = AdaptivePriorEvolution(n_params, forgetting_factor)

Definition at line 548 of file autonomous_calibration_engine.py.

start_time

autonomous_calibration_engine.AutonomousCalibrationEngine.start_time = time.time()

Definition at line 562 of file autonomous_calibration_engine.py.

Referenced by calibration_robustness.HealthMonitor.get_current_status(), combined_fsw_gui.UDPReceiver.get_stats(), and combined_fsw_gui.UDPReceiver.run().

total_calibrations

autonomous_calibration_engine.AutonomousCalibrationEngine.total_calibrations = 0

Definition at line 560 of file autonomous_calibration_engine.py.

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The documentation for this class was generated from the following file:

• daq-server/tools/calibration/autonomous_calibration_engine.py