Sensor management systems for HVAC systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
HVAC systems face inefficiencies due to sensor wear or erroneous data, leading to reduced operational efficiency and increased costs, as technicians must manually inspect each sensor, delaying operations and increasing expenses.
Innovation Solution
A sensor management system that includes a controller to receive feedback from temperature and pressure sensors, converting feedback into saturated parameters to verify sensor accuracy, identifying outliers, and adjusting operations accordingly, thereby enabling efficient monitoring and reducing reliance on external technicians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual sensor inspection is performed by technicians, then sensor accuracy can be verified, but operational delays occur and costs increase
Solution Approach 1:
The system performs self-diagnosis by automatically comparing sensor readings against expected physical relationships (saturated pressure-temperature correlations, pressure drops across components). The controller verifies sensor accuracy without external technician intervention, allowing the HVAC system to detect and flag potentially faulty sensors during normal operation, thus eliminating operational delays while maintaining measurement precision verification
Solution Approach 2:
The system continuously monitors sensor readings and provides feedback by comparing them against expected values derived from thermodynamic relationships and system operating conditions. When discrepancies exceed predetermined thresholds, the system generates alerts indicating potential sensor faults, enabling continuous verification without manual intervention and reducing both time loss and maintaining accuracy standards
2Reliability
If manual sensor inspection is performed by technicians, then sensor wear can be detected, but operational costs increase
Solution Approach 1:
The HVAC system automatically detects sensor wear and degradation through continuous monitoring and comparison of sensor readings against expected thermodynamic relationships. The controller identifies trends and anomalies indicating sensor deterioration without requiring external technician intervention, thereby maintaining reliability while reducing operational costs by eliminating manual inspection requirements
Solution Approach 2:
The system replaces manual mechanical inspection procedures with automated electronic monitoring and computational analysis. The controller uses software algorithms to compare sensor readings against expected values and detect wear patterns, substituting the mechanical process of technician inspection with an automated electronic system that reduces operational costs while maintaining detection capability
3Productivity
If sensor data is used without verification, then system operation continues without delays, but operational efficiency decreases due to erroneous data
Solution Approach 1:
The system implements continuous feedback verification by comparing sensor readings against expected thermodynamic relationships and system operating parameters. When readings fall within acceptable thresholds, the system operates efficiently using real-time sensor data without delays. When discrepancies are detected, the system flags potential sensor faults, allowing continued operation with monitored efficiency or triggering corrective actions to prevent energy waste from erroneous control decisions
Solution Approach 2:
The system performs partial verification by checking sensor readings against multiple independent criteria (saturated pressure-temperature correlations, pressure drops across components, temperature differentials). This partial but multi-faceted verification approach maintains system operation continuity while ensuring operational efficiency by catching erroneous data before it significantly impacts system performance
Data Source
AI summary
A controller for a heating, ventilation, and air conditioning (HVAC) system is configured to receive a first feedback from a first sensor of the HVAC system and receive a second feedback from a second sensor of the HVAC system. The controller is configured to determine a saturated parameter corresponding to a working fluid based on the second feedback. Additionally, the controller is configured to transmit an indication in response to determining that the saturated parameter has a threshold correlation to the first feedback.