Modular Mobile Device Architecture With Dedicated Processing Modules
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Solution Overview
Problem
Current mobile devices suffer from high power consumption, long boot times, and reduced performance due to their highly integrated architectures designed for maximum programmability, leading to inefficient use of resources and increased costs, while lacking customization and organizational features that meet user needs.
Innovation Solution
A modularized mobile device architecture with user-customizable functionality and form factor, featuring a core engine and detachable modules with dedicated processing and memory, allowing for optimized performance, power usage, and cost, along with a time-based information system (TIBIS) for efficient data organization and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a highly integrated architecture with maximum programmability is used, then adaptability and versatility are improved, but power consumption increases and performance deteriorates
Solution Approach 1:
The patent divides the mobile device architecture into separate functional modules (communication module, display module, input module, processing module, memory module) that can operate independently. Each module has dedicated processing elements and memory, eliminating the need for a single high-powered integrated processor to handle all functions, thereby reducing overall power consumption while maintaining versatility through modular combinations.
Solution Approach 2:
The patent implements a universal interface and communication protocol that allows different functional modules to work together in various configurations. The core engine provides common services (power management, memory access, communication) that are shared across modules, enabling multi-functionality without requiring each module to have full programmability capabilities.
2Adaptability or versatility
If a highly integrated architecture with maximum programmability is used, then adaptability and versatility are improved, but device response time worsens
Solution Approach 1:
By segmenting the system into independent functional modules with dedicated processing elements, the patent eliminates the bottlenecks of a single integrated processor. Each module can process its tasks locally without waiting for central processor cycles, significantly improving response time for frequently used functions while maintaining adaptability through the modular architecture.
Solution Approach 2:
The core engine acts as an intermediary that manages communication and resource sharing between modules. It provides a streamlined interface for inter-module communication, reducing the overhead of coordinating tasks across the distributed architecture and maintaining fast response times while enabling versatile functionality.
3Power
If a highly integrated architecture is used, then computing capability is improved, but manufacturing cost increases
Solution Approach 1:
The patent segments the computing capability into dedicated functional modules, each with its own processing elements optimized for specific tasks. This approach is more cost-effective to manufacture than a single high-powered integrated processor, as each module can be produced using standardized, cost-efficient processes and only the necessary modules need to be included in each device.
Solution Approach 2:
Each functional module contains processing elements and memory specifically optimized for its local function rather than using a general-purpose high-power processor. This local optimization reduces the computing capability requirements for each individual module, lowering manufacturing costs while maintaining overall system capability through the combination of specialized modules.
4Adaptability or versatility
If a general-purpose operating system is used to support future programming, then adaptability is improved, but available memory and computing resources are reduced
Solution Approach 1:
The patent segments memory into dedicated memory spaces for each functional module, with only the necessary memory allocated to each module's specific operations. This eliminates the need for a large general-purpose memory space required by universal operating systems, increasing the quantity of available memory for actual use while maintaining adaptability through the modular architecture.
Solution Approach 2:
The patent extracts the operating system functions into a separate core engine that provides common services, allowing functional modules to operate with minimal overhead. This extraction removes the need for large memory reserves dedicated to running a general-purpose OS, freeing up memory for application data and processing while maintaining future programmability capabilities.
Data Source
AI summary
An automated assistant system and method provide proactive and anticipatory services for the user of the system including providing customized as well as autonomous services using a mobile access device or operating on and through a network.