Digital Twin Data Management for Multi-Format API Integration
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Solution Overview
Problem
Existing digital twin technologies face limitations in supporting multiple file formats, leading to integration challenges and slow query response speeds due to numerous APIs, and lack cohesive solutions for managing diverse data formats.
Innovation Solution
A system and method utilizing a processor to manage digital twins through a first API for dataset reception and a second API for user queries, enabling real-time updates and efficient query processing with customizable data pipelines and open multi-API specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple APIs are created for each file format to support diverse data formats, then adaptability is improved, but device complexity increases and query response speed decreases
Solution Approach 1:
The patent implements a universal API interface that can handle multiple file formats (JSON, XML, CSV, etc.) through a single standardized endpoint. The system uses a mediator layer that translates between the unified API interface and various file format parsers, allowing one API to serve multiple data format requirements without creating separate APIs for each format.
Solution Approach 2:
The patent introduces a mediator component between the API layer and data storage layer that handles format conversion and data normalization. This intermediary layer receives data from various file formats, standardizes it into a common internal representation, and manages the complexity of format-specific parsing logic centrally, preventing API proliferation.
2Adaptability or versatility
If multiple APIs are created for each file format, then adaptability is improved, but query response speed deteriorates due to system heaviness
Solution Approach 1:
By implementing a single universal API that handles all file formats through a common processing pipeline, the system eliminates the need to route queries through multiple specialized APIs. This unified approach reduces the number of processing steps and system overhead, thereby improving query response speed while maintaining support for diverse data formats.
Solution Approach 2:
The patent employs a data normalization layer that pre-processes and standardizes data from various file formats into a common internal representation before it is stored or queried. This preliminary conversion action happens once during data ingestion, so subsequent queries operate on standardized data without needing to parse multiple formats, significantly reducing query response time.
3Adaptability or versatility
If multiple APIs are created for each file format, then adaptability is improved, but productivity deteriorates due to system lag
Solution Approach 1:
The patent merges multiple format-specific processing functions into a single unified data processing pipeline. Instead of having separate APIs and processing logic for each file format, the system combines all format handling into one integrated workflow that processes all formats through a common normalization and storage mechanism, thereby improving productivity and reducing system lag.
Solution Approach 2:
The mediator layer acts as a central coordination point that manages data from all file formats through a single standardized interface. This intermediary consolidates processing tasks and eliminates redundant operations that would occur with multiple separate APIs, thereby improving overall data processing efficiency and reducing system lag.
Data Source
AI summary
A system including processor(s) configured to: run digital twin(s) of real-world asset(s); receive datasets from data sources, data sources being communicably coupled to the processor(s) via a first application programming interface (API); update the digital twin(s), based on the received datasets; receive, from a user device, a query for obtaining information from the digital twin(s), the user device being communicably coupled to the processor(s) via a second API; process the query to generate a response comprising said information; and send the response to the user device.