Cloud Device System for IoT Protocol Translation
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Solution Overview
Problem
Current IoT ecosystems face challenges in providing a seamless and cost-effective solution for connecting disparate devices, with compatibility issues, high maintenance costs, and complexity in installation and management due to the need for multiple devices with proprietary data models and various network protocols.
Innovation Solution
The implementation of Cloud Devices, which are software service nodes that can replace physical devices or embed software processes, enabling dynamic discovery, provisioning, and management of IoT systems using machine-state-altering triggers and leveraging cloud computing for reduced resource requirements and improved throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple physical devices with proprietary data models and network protocols are used to connect disparate devices, then device compatibility and functionality are improved, but device complexity and management difficulty increase
Solution Approach 1:
The patent implements a universal data model that enables a single cloud device to interact with multiple types of physical devices through standardized interfaces. This universal approach allows the system to maintain compatibility with diverse devices while avoiding the complexity of implementing separate proprietary protocols for each device type, thus resolving the contradiction between adaptability and complexity
Solution Approach 2:
The patent introduces a cloud-based intermediary layer that mediates between physical devices and the user interface. This intermediary handles device-specific protocols and data models internally, presenting a unified standardized interface to users. The mediator absorbs the complexity of device diversity while maintaining simplicity at the user level, resolving the contradiction between versatility and manageability
2Adaptability or versatility
If multiple physical devices are deployed to provide comprehensive IoT functionality, then system functionality is improved, but installation and maintenance costs increase
Solution Approach 1:
The patent merges the functionality of multiple physical devices into a single cloud-based device that provides comprehensive IoT capabilities through software. By consolidating device functions in the cloud rather than requiring multiple physical units, the system maintains full functionality while significantly reducing installation, hardware, and maintenance costs
Solution Approach 2:
The patent creates virtual copies of physical device functionality through software implementations in the cloud. These software-based device representations provide the same functional capabilities as physical devices but eliminate the need for expensive hardware deployment and maintenance, resolving the contradiction between functionality and cost
3Adaptability or versatility
If proprietary data models and network protocols are used for each device, then device-specific functionality is improved, but interoperability and data normalization become more difficult
Solution Approach 1:
The patent implements a cloud-based intermediary that performs automatic data normalization and protocol translation between diverse device data models and a unified standardized interface. This mediator handles the complexity of proprietary formats internally while presenting consistent, normalized data to users, resolving the contradiction between device-specific functionality and ease of data management
Solution Approach 2:
The patent dynamically changes data parameters and formats based on the source device type, automatically adapting proprietary device-specific data models into a standardized universal format. This parameter transformation occurs transparently in the cloud, allowing the system to maintain device-specific functionality while providing simplified standardized data access
Data Source
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AI summary
The present embodiments provide creation and replacement of at least one physical device with at least one fully functional standalone software service API on a connected network, which then functions as at least one remote Cloud Device. An embodiment provides a method for embedding at least one software application inside at least one fully functional standalone software services API, which works as at least one remote Cloud Device. Another embodiment creates internal Cloud-based computer models of machine state altering triggers, as Cloud-enabled network nodes, from events such as user interactions, data synchronization, state transitions, changes in device density, or location-, time- and schedule-based triggers, machine learning algorithms, etc. For example, these triggers provide machine state-altering mechanisms in a Cloud Device that allow a novel and unique approach for dynamic discovery, provisioning, management, and operation of at least one Cloud Device as a machine-state-transition.