Systems and methods for damper performance diagnostics
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Solution Overview
Problem
Existing HVAC systems face challenges in accurately diagnosing damper performance, as current methods rely on multiple sensors and data from various sources, making it difficult to determine if a damper is operating properly.
Innovation Solution
A computerized method and system that use differential pressure measurements from a local controller to conduct damper performance diagnostics, including stuck, predictive failure, improperly-sized, and leakage diagnostics, without relying on data from other sensors or systems, by providing control signals to the damper and analyzing pressure information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors and data sources are used for damper performance assessment, then the assessment can be conducted at a supervisory level, but it becomes difficult to determine whether the damper is operating properly
Solution Approach 1:
The patent extracts the essential diagnostic function from the complex supervisory system by implementing a local controller that performs damper performance diagnostics independently using only differential pressure measurements. This extraction eliminates the need for multiple sensors and data sources while maintaining diagnostic capability, directly resolving the contradiction between assessment accuracy and system complexity
Solution Approach 2:
The local controller performs self-diagnosis of the damper by comparing measured differential pressure against expected values calculated from control signals. This self-service approach enables the system to determine damper operational status without relying on external supervisory systems or additional sensors, thereby reducing complexity while preserving diagnostic accuracy
2Loss of energy
If damper performance diagnostics are conducted at the local controller level using only pressure information, then data traffic is reduced, but the diagnostic capability must be sufficient without additional sensors
Solution Approach 1:
The system implements feedback by continuously comparing the differential pressure measurements against expected pressure values that are calculated based on the control signals sent to the damper. This feedback mechanism enables reliable diagnostic determination of damper operational status using only pressure information, maintaining diagnostic reliability while minimizing data traffic
Solution Approach 2:
The differential pressure sensor serves multiple functions: it measures actual pressure differential across the damper, provides data for calculating expected pressure values, and enables various diagnostic modes (stuck damper detection, performance degradation detection). This multi-functionality ensures reliable diagnostics with minimal sensing infrastructure, reducing data traffic while maintaining diagnostic capability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables independent and efficient damper performance diagnostics at the local controller level, reducing unnecessary data traffic and allowing for timely identification of issues, thereby improving HVAC system efficiency and reducing energy waste.
Implementation Method 1
Differential pressure may be determined by subtracting a measured static pressure from a measured stagnation pressure
Implementation Method 2
The damper may variably open and close to adjust the flow rate of a controlled gas or fluid (e.g., air) through the flow control unit
Data Source
AI summary
A computerized method for conducting a performance diagnostic for a damper in a flow control unit includes providing a control signal to the damper. The control signal instructs the damper to move into a target position or to achieve a target flow rate through the flow control unit. The method includes measuring a first differential pressure using a pressure sensor of the flow control unit at a first time before providing the control signal to the damper and measuring a second differential pressure using the pressure sensor of the flow control unit at a second time after providing the control signal to the damper. The method includes calculating a rate of change between the measured differential pressures based on a difference between the first and second measured differential pressures and a difference between the first and second times. The method includes predicting failure of the damper in response to the calculated rate of change being less than a threshold rate of change and outputting a damper failure prediction to at least one of a user interface device, a local memory, and communications electronics.