Context-Aware IoT Data Translation System
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Solution Overview
Problem
The Internet of Things (IoT) marketplace is fragmented due to the lack of interoperability standards, leading to siloed systems and the need for custom, expensive solutions with redundant equipment, limiting market traction and user experience.
Innovation Solution
A computer system that translates data from arbitrary formats to a common format based on the context of the data, using a pretrained model to identify electronic devices and decode data, enabling data aggregation and flexible solutions across diverse IoT devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data from diverse IoT devices with arbitrary formats is processed without translation, then device compatibility and integration flexibility are improved, but data usability and system interoperability deteriorate
Solution Approach 1:
The patent introduces a translation layer with context computation that acts as an intermediary between diverse data formats and the common format. This intermediary computes context about the data (including device identification and format information) and uses it to translate arbitrary device formats into a standardized common format, enabling interoperability without losing data usability.
Solution Approach 2:
The system dynamically changes data format parameters by translating from arbitrary device-specific formats to a standardized common format. The context computation identifies the source format parameters and transforms them into target format parameters, allowing the same data to be represented in different formats as needed.
2Reliability
If proprietary solutions with dedicated equipment are used for each device type, then device-specific functionality and reliability are improved, but system complexity and cost increase
Solution Approach 1:
The patent implements a universal translation layer that can handle multiple device types and formats through a single system component. The context computation and translation mechanisms are designed to be device-agnostic, allowing one universal system to perform the functions previously requiring multiple proprietary solutions, thereby reducing overall system complexity.
Solution Approach 2:
The translation layer serves as an intermediary that preserves device-specific functionality by accurately translating data from various proprietary formats while presenting a unified interface to the rest of the system. This mediator approach maintains reliability for each device type without requiring the end system to understand device-specific complexities.
3Reliability
If custom gateways and network switches are deployed for different manufacturers, then device connectivity and reliability are improved, but cost and loss of time increase
Solution Approach 1:
The patent introduces a software-based translation intermediary that replaces or supplements physical gateways and switches. This intermediary automatically computes context and performs format translation, enabling rapid integration of new devices without requiring custom hardware deployment, thereby reducing both cost and integration time while maintaining connectivity reliability.
Solution Approach 2:
The system performs self-service integration by automatically computing context about incoming data and devices, identifying the appropriate format translations needed, and executing the translation without human intervention. This automated self-service capability eliminates the time-consuming manual configuration associated with deploying custom gateways and switches.
Data Source
AI summary
During operation, a computer system may obtain data associated with an electronic device and that has a first format. Then, the computer system may compute a context of the data. For example, the context may include: a location of the electronic device, a type of the data, a type of the electronic device, the first format, and/or a gateway (such as an access point or a radio node in a network) that forwards the data from the electronic device to the computer system. Moreover, based at least in part on the context, the computer system may identify the electronic device associated with the data. Next, the computer system may translate, based at least in part on the identified electronic device, the data from the first format to a second format, where the second format is common to additional data associated with multiple different types of electronic devices.