Hub-and-Spoke Classification System for Digital Twin Development
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Solution Overview
Problem
Current app development platforms are limited in scope, requiring technical expertise and platform-specific design, making it costly and time-consuming to create and deploy applications across multiple devices and operating systems, especially for media-rich content that integrates with 3D, mapping, IoT, AR, and VR, while also lacking comprehensive and extensible solutions for workflow and API brokering.
Innovation Solution
A method for determining a user device's location within a building using a machine-learned location classification model trained with signal profiles, which detects network signals and transmits a signal profile to a backend server for location estimation, enabling location-based services without deep operating system or device expertise, and a system for creating digital twin-enabled applications that leverage real-time data from IoT sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If platform-specific design and coding are used for each device type, then device compatibility is improved, but development time and cost increase significantly
Solution Approach 1:
The patent implements a universal app development platform that can target multiple device types and operating systems simultaneously. The system provides a single development environment that generates applications compatible with mobile devices, PCs, and other endpoints, eliminating the need for separate platform-specific development efforts while maintaining broad device compatibility.
Solution Approach 2:
The patent segments the development process into distinct modules including a development environment, runtime environment, and service layers. This segmentation allows the system to handle different device requirements through modular components rather than requiring complete platform-specific redesigns, reducing development time while maintaining adaptability.
2Adaptability or versatility
If extensive coding and device expertise are required, then application functionality is improved, but ease of development deteriorates
Solution Approach 1:
The patent introduces an intermediary development platform that sits between the developer and the diverse device ecosystem. This platform provides abstraction layers and standardized interfaces that enable developers to create functional applications without needing deep expertise in specific device behaviors, operating systems, or low-level programming details.
Solution Approach 2:
The patent employs templates and pre-built components that can be copied and adapted for different application needs. These standardized building blocks provide common functionality across different device types, allowing developers to create complex applications by assembling proven components rather than coding everything from scratch, thus improving ease of development while maintaining functionality.
3Reliability
If multiple separate development efforts are used for different operating systems, then platform optimization is improved, but productivity deteriorates
Solution Approach 1:
The patent merges multiple development efforts into a single unified development environment. The system combines the capabilities of targeting different operating systems and device types into one platform, allowing developers to write code once and deploy to multiple platforms. This merging maintains platform-specific optimizations through configurable runtime environments while dramatically improving overall development productivity.
Data Source
AI summary
According to some embodiments of the present disclosure, the disclosure relates to an application system and server kit that create and serve digital twin-enabled applications. This disclosure also relates to a hub-and-spoke classification system. This disclosure also relates to a location-based services framework that leverages a generative content process to improve location prediction. This disclosure also relates to virtual reality and augmented reality applications, as well as digital agents that support various types of applications.