Building Appliance Interface for Decoding Time-Coded Diagnostics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing building appliances often have low-cost user interfaces that emit coded signals for diagnostic status, which are difficult for users to interpret manually, leading to inaccuracies and inefficiencies in maintenance and repair.
Innovation Solution
A portable device with sensors and a controller that recognizes human perceptible time-coded signals from building appliances, such as HVAC systems, and displays corresponding diagnostic information, optionally transmitting data to a server for further analysis and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a low-cost user interface with limited capabilities (e.g., blinking LED light) is used in building appliances, then the manufacturing cost is reduced, but the ease of operation and diagnostic accuracy deteriorate because users must manually decode coded signals
Solution Approach 1:
A portable diagnostic device serves as an intermediary between the building appliance's simple LED interface and the user. The device captures images of the blinking LED patterns, automatically decodes the diagnostic information, and presents it in an easily understandable format, thereby bridging the gap between low-cost appliance interfaces and user-friendly diagnostics
Solution Approach 2:
The manual decoding process is replaced by an automated image recognition and signal decoding system. The portable device uses a camera to capture LED patterns and a processor to automatically interpret the coded diagnostic signals, eliminating the need for users to manually decode complex blinking patterns
2Device complexity
If manual decoding of coded signals is required, then device complexity is reduced, but measurement precision and reliability of diagnostic information deteriorate due to human error
Solution Approach 1:
The portable diagnostic device performs self-service by automatically capturing, decoding, and interpreting diagnostic signals without requiring human intervention in the decoding process. The device independently processes the LED patterns and generates accurate diagnostic information, eliminating human error while maintaining system simplicity
Solution Approach 2:
The system implements feedback by capturing the actual LED output, comparing it against known diagnostic patterns, and providing corrected diagnostic information back to the user. This feedback loop ensures accurate interpretation even when the original coded signals are complex or ambiguous
3Ease of manufacture
If simple LED interfaces are used in building appliances, then manufacturing cost is reduced, but loss of information occurs because limited display capabilities cannot convey comprehensive diagnostic data
Solution Approach 1:
The diagnostic information is extended from the limited two-dimensional LED blinking patterns to a multi-dimensional presentation on the portable device's display screen. The system captures the simple LED signals and transforms them into comprehensive diagnostic reports that include detailed fault descriptions, troubleshooting steps, and additional contextual information
Solution Approach 2:
The diagnostic information is segmented into multiple components: basic fault identification from the LED patterns, detailed diagnostic data from database lookups, and additional troubleshooting information. This segmentation allows the system to preserve the simplicity of the original interface while providing comprehensive information through the portable device
Data Source
AI summary
A smart phone or a tablet may execute an application program code to identify a diagnostic status associated with a time-coded signal emitted by a low-cost user interface of a building appliance such as a furnace or water heater and suggest a recommended action to the user. The signal emitted by the low-cost user interface may be audio or a visual signal.