Intelligent Lamp Signal Adaptive Identification Method
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Solution Overview
Problem
Current intelligent lamps face inaccuracies in automatic switching between communication signal types due to reliance on frame header data alone, leading to identification errors and operational issues.
Innovation Solution
A signal adaptive identification method that compares frame header data with preset reference data and also considers the time sequence of communication data to ensure accurate signal type identification, using multiple signal parsing circuits and a processor to execute instructions only when both match.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic switching is implemented by identifying frame header data only, then switching automation is improved, but identification accuracy deteriorates
Solution Approach 1:
The patent divides the signal identification process into two independent segments: frame header data identification and communication data time sequence identification. Each segment performs its own validation, and only when both segments match the reference data does the system confirm the signal type. This segmentation allows automatic switching to maintain high automation while improving identification accuracy through multi-stage verification.
Solution Approach 2:
The patent performs preliminary identification using frame header data before final confirmation. The frame header provides an initial signal type determination, which then triggers time sequence validation of the communication data. This preliminary action enables the system to prepare for switching decisions while maintaining a fallback verification mechanism to prevent erroneous identification.
2Measurement precision
If manual switching is used to adjust communication signal types, then identification accuracy is maintained through human judgment, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent implements a self-service automatic identification system that performs both frame header analysis and time sequence validation without human intervention. The processor automatically compares received frame header data and communication data time sequences against reference data, making switching decisions independently. This eliminates the need for manual adjustment mechanisms, reducing device complexity while maintaining high identification accuracy through automated multi-parameter verification.
3Adaptability or versatility
If multiple signal parsing circuits are added to support multiple communication signal types, then adaptability is improved, but device complexity and production cost increase
Solution Approach 1:
The patent implements a universal signal parsing approach where a single signal parsing circuit handles multiple communication signal types (DALI, DMX, AD) by analyzing frame header data and time sequences that are characteristic of each protocol. Rather than dedicating separate hardware circuits to each signal type, the system uses software-based identification and a single versatile parsing circuit, achieving multi-signal compatibility while minimizing device complexity.
4Speed
If frame header data alone is used for signal identification, then switching speed is improved, but identification reliability deteriorates
Solution Approach 1:
The patent uses frame header data for preliminary signal type identification to enable fast initial switching decisions, then performs additional time sequence validation of communication data to ensure reliability. This two-stage approach allows the system to switch quickly based on frame header matching while maintaining high identification reliability through the subsequent time sequence verification step.
Solution Approach 2:
The patent implements feedback verification where the time sequence of communication data is compared against reference time sequences after frame header identification. This feedback mechanism confirms or corrects the initial frame header-based identification, ensuring reliable signal type determination while maintaining relatively fast switching through the efficient two-stage validation process.
Data Source
AI summary
An intelligent lamp, a signal adaptive identification method for the intelligent lamp, and a computer-readable storage medium for implementing the method include: receiving a communication signal, and obtaining frame header data of the communication signal; and comparing the frame header data with preset reference frame header data, and if the frame header data matches the preset reference frame header data, obtaining communication data of a communication signal corresponding to the frame header data, and determining whether a time sequence of the communication data matches a communication data time sequence corresponding to the reference frame header data, and if yes, executing an instruction in the communication data of the communication signal corresponding to the frame header data.