Sensor Interface Queue Architecture for Multi-Format Data Assembly

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Solution Overview

Problem

Existing sensor interface technologies face challenges in efficiently managing and processing data from multiple sensor sources with varying data formats, leading to inefficiencies and suboptimal user experiences in electronic devices.

Innovation Solution

A sensor interface architecture that includes a sensor interface queue (SIFQ) with queue allocators and data assemblers, capable of handling multiple sensor sources by allocating queues for different data packets and converting them into compatible frame formats for respective signal processors, thereby facilitating seamless data processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple sensor sources with varying data formats are connected to signal processors, then the system can handle diverse sensor data, but the complexity of managing and processing data from multiple sensor sources increases

Engineering Contradiction:

Improvecapability to handle diverse sensor data formatsVSAvoidcomplexity of managing and processing data

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a sensor interface queue (SIFQ) as an intermediary component between sensor sources and signal processors. The SIFQ includes multiple queues that can be dynamically allocated to different sensor sources, and data assemblers that convert sensor data into standardized frame formats. This intermediary structure manages the complexity of handling diverse sensor data formats while maintaining adaptability to multiple sensor types.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent segments the data processing system into distinct functional components: sensor interfaces for individual sensor sources, a queue allocator for managing multiple queues, data assemblers for format conversion, and signal processors for final processing. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while maintaining versatility.

Inventive Principle:

Principle #1Segmentation

2Productivity

If data from multiple sensor sources is processed simultaneously, then data processing efficiency improves, but the difficulty of synchronizing and assembling data in compatible formats increases

Engineering Contradiction:

Improvedata processing efficiencyVSAvoiddifficulty of synchronizing and assembling data

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent changes the format parameter of sensor data by introducing data assemblers that convert various sensor data formats into a standardized frame format. This parameter transformation enables simultaneous processing of diverse sensor data while simplifying synchronization and assembly operations, as all data streams follow a common format structure.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The data assemblers act as intermediary components between the queue allocator and signal processors, performing format conversion and data assembly operations. This intermediary layer handles the complexity of synchronizing and assembling data from multiple sensor sources, allowing efficient simultaneous processing while managing format compatibility.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Manufacturing precision

If separate processing paths are created for each sensor source, then data processing accuracy improves, but the device complexity and resource utilization worsen

Engineering Contradiction:

Improvedata processing accuracyVSAvoidcomplexity of processing architecture

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements a universal queue structure and data assembler architecture that can serve multiple sensor sources simultaneously. The queue allocator dynamically assigns queues to different sensor sources, and the data assemblers handle format conversion for various sensor types using a common processing framework. This multi-functional design maintains data processing accuracy while reducing overall system complexity compared to completely separate processing paths.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260064503A1Sensor interface architecture and systems

Publication Date: 2026.03.05 APPLE INC

AI summary

The present disclosure describes a sensor interface (SIF) system placed between sensor sources and signal processors. A SIF system can include a sensor interface queue (SIFQ) coupled to a first sensor source and a second senor source, and further coupled to a first data assembler and a second data assembler. The SIFQ can include a first queue to store a first set of data packets received from the first sensor source, and a second queue to store a second set of data packets received from the second sensor source. The first set of data packets and the second set of data packets can share the same data packet format. The first data assembler can assemble the first set of data packets into first data in a first frame format, and the second data assembler can assemble the second set of data packets into second data in a second frame format.