Core Computing Device for LED Driver Error Detection
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Solution Overview
Problem
Existing LED driver systems rely on master computing devices to identify error conditions, which requires relayed information and is less efficient compared to local detection within the core computing device and LED drivers.
Innovation Solution
A core computing device is configured to receive LED control information, generate primary and secondary path control output data, compare these data sets to detect errors, and trigger remedial actions in the LED drivers to achieve desired outputs, thereby enabling efficient error detection and correction within the LED driver circuitry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If error detection is performed by master computing device through relayed information, then system centralization is maintained, but error detection efficiency and speed deteriorate
Solution Approach 1:
The patent divides error detection functionality into two segments: primary path error detection performed locally by the core computing device, and secondary path error detection performed by LED drivers. This segmentation allows parallel error detection without requiring all information to be relayed to the master computing device, thus improving detection efficiency while maintaining centralized control for final decision-making.
Solution Approach 2:
The core computing device performs preliminary error detection by comparing primary path LED driver control output data with secondary path LED driver control output data before final output. This preliminary action enables early error identification, reducing the need for extensive information relay and post-detection analysis by the master computing device.
2Measurement precision
If dual-path comparison is implemented for error detection, then error detection accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies different levels of comparison complexity to different data paths. The primary path uses comprehensive LED driver control output data for accurate error detection, while the secondary path uses simplified LED driver control output data that requires less computation. This local quality approach maintains high detection accuracy where needed while reducing overall computational burden.
Data Source
AI summary
In some examples, this disclosure describes a light-emitting diode (LED) driver circuit comprising a set of LED drivers, wherein each LED driver of the set of LED drivers is configured to control one or more LEDs of a set of LEDs. Additionally, the LED driver circuit comprises a core computing device configured to receive LED control information, compare primary path LED driver control output data with secondary path LED driver control output data to detect whether one or more error conditions are present in the core computing device, receive channel status feedback information, compare the secondary path LED driver control output data with the channel status feedback information to detect whether one or more error conditions are present in the set of LED drivers or in the set of LEDs, and trigger, based on determining that one or more error conditions are present, one or more remedial actions.


