Sensor validation
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Solution Overview
Problem
HVAC systems lack effective tools for reliably validating sensor operations, leading to potential sensor errors going unreported, which can result in inefficiency and damage to the system.
Innovation Solution
A method for HVAC system sensor validation involving multi-tiered validation checks, pre-validation criteria such as de-energizing the system for a minimum time, and operating compressors at 100% capacity for brief periods to ensure accurate sensor measurement comparison, reducing false positives and negatives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are used to monitor system performance and detect system faults, then system reliability is improved, but false error identification occurs due to lack of sensor validation tools
Solution Approach 1:
The system performs preliminary validation checks before relying on sensor data for fault detection. By validating sensors through pre-established criteria (checking if measured values fall within expected ranges based on system operating conditions), the system ensures sensor reliability before using them for diagnostic purposes, thereby reducing false error identification.
Solution Approach 2:
The system implements a feedback mechanism where sensor measurements are continuously validated against expected ranges derived from system operating conditions. When sensor readings fall outside these ranges, the system flags potential sensor failures and adjusts its diagnostic logic accordingly, creating a closed-loop validation system that improves both reliability and measurement precision.
2Reliability
If multilevel validation checks are performed to confirm sensor validation, then false positive and false negative sensor failures are decreased, but system complexity increases
Solution Approach 1:
The validation system is segmented into multiple independent validation checks, each targeting specific sensor types or system conditions. Rather than implementing a single complex validation algorithm, the system divides validation into discrete, manageable levels that can be executed independently, reducing overall system complexity while maintaining high reliability through comprehensive coverage.
Solution Approach 2:
The system changes validation parameters based on system operating conditions. Different validation criteria are applied depending on whether the system is in heating mode, cooling mode, idle, or under specific load conditions. This dynamic parameter adjustment allows the system to maintain simple, condition-specific validation rules rather than requiring a single complex universal validation algorithm.
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3C
AI summary
An HVAC system (100) includes a compressor (106a), condenser (108a), and evaporator (124a). A sensor (114a, 118a, 132a, 136a) measures a value associated with the refrigerant in the condenser or the evaporator, and a controller (160) is communicatively coupled to the compressor and the sensor. The controller determines, based on an operational history the compressor, that pre-requisite criteria are satisfied for entering a sensor validation mode. After determining the pre-requisite criteria are satisfied, an initial sensor measurement value is determined. Following determining the initial sensor measurement value, the compressor is operated according to a sensor-validation mode. Following operating the compressor according to the sensor-validation mode for at least a minimum time, a current sensor measurement value is determined. The controller determines whether validation criteria are satisfied for the current sensor value. In response to determining that the validation criteria are satisfied, the controller determines that the sensor is validated.