Unified IoT Platform Integrating OT and IT via Universal Data Acquisition
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Solution Overview
Problem
Existing IoT solutions are rigid and inflexible, forcing a functional separation between operations technology and information technology, leading to inefficiencies and duplication of functionality, and often require proprietary systems that can result in the need to replace existing IT infrastructure and applications.
Innovation Solution
A unified infrastructure platform that integrates and controls networked components, allowing for localized and remote processing of data using rules processing at both the gateway and server, enabling interoperability between operations technology and information technology, and supporting various device types and applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary systems and protocols are used for IoT data acquisition, then vendor-specific functionality is achieved, but existing IT infrastructure investment is wasted and system flexibility is reduced
Solution Approach 1:
The patent implements a universal data acquisition platform that can interface with multiple vendor-specific protocols and systems through a common architecture. The platform uses standardized data models and communication interfaces that allow different sensor types and protocols to be handled uniformly, enabling the system to work with various vendors while maintaining a single codebase and preserving existing IT infrastructure investments.
2Productivity
If functional separation between operations technology and information technology is enforced, then specialized processing is achieved, but interoperability is reduced and duplication of functionality occurs
Solution Approach 1:
The patent merges operations technology and information technology into a unified data acquisition and processing platform. By combining real-time data acquisition capabilities with information processing and analytics in a single system, the patent eliminates the need for separate functional silos while maintaining specialized processing through modular components that can work together seamlessly.
Solution Approach 2:
The patent introduces a standardized data model and communication layer that acts as an intermediary between operations technology sensors and information technology processing systems. This intermediary layer enables seamless interoperability by translating various sensor protocols into a common format that can be processed by information systems, eliminating duplication while maintaining specialized processing capabilities.
3Ease of manufacture
If rigid, pre-configured data acquisition modalities are used, then implementation simplicity is achieved, but adaptability to different sensor types and applications is reduced
Solution Approach 1:
The patent implements a dynamic data acquisition system where configuration parameters such as sampling rates, data formats, and processing rules can be adjusted in real-time based on the specific sensor type and application requirements. The system automatically adapts its behavior based on the connected devices, allowing simple plug-and-play operation while maintaining high adaptability to different sensor types and protocols.
Data Source
AI summary
Disclosed is a method and mechanism to implement a unified infrastructure for handling IoT components and devices. A platform is provided to integrate, access, and control any type of local device, and to use any type of back-end application to processed collected data from the local devices.