Virtual Device Data Management for AI and IoT Integration
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Solution Overview
Problem
Conventional cloud environments face challenges in efficiently enhancing functions, requiring dedicated ports and increased development costs when integrating external AI applications, and struggle with managing calculated values from measurement data collected by devices.
Innovation Solution
An information processing system that uses virtual devices to manage measurement and calculated data, allowing for efficient data transmission and storage through a common API, eliminating the need for dedicated ports and simplifying function enhancements by treating calculated data as measurement data, thereby reducing development costs and enhancing cloud environment functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a dedicated port is set for software when a web application server transmits data to an external AI application server, then data transmission between specific applications is enabled, but the device complexity and development cost increase
Solution Approach 1:
The patent applies universality by introducing a virtual device that can be assigned to multiple applications and data types. Instead of creating dedicated ports for each application pair, a single virtual device serves as a universal interface for transmitting various data types (measurement data, calculated data, AI processing results) between different applications, thereby reducing port configuration complexity while maintaining reliable data transmission
Solution Approach 2:
The virtual device acts as an intermediary component between the web application server and external AI application servers. It mediates data transmission by receiving data from measurement devices, performing calculations, and forwarding results to AI applications, thereby eliminating the need for direct dedicated port configurations between each application pair
2Reliability
If multiple dedicated ports are configured for different data types and applications, then data transmission paths are clearly defined, but the ease of operation and maintenance deteriorate
Solution Approach 1:
The patent merges multiple dedicated port functions into a single virtual device. This virtual device consolidates the roles of multiple specialized ports by handling measurement data reception, calculation data generation, and AI application data transmission through a unified interface, thereby simplifying port management while maintaining clear data transmission paths through internal data type identification
3Adaptability or versatility
If conventional cloud environment functions are enhanced by adding dedicated software ports, then new functionalities are achieved, but the development cost increases
Solution Approach 1:
The virtual device provides universal functionality that can be applied across multiple cloud-based applications and data types without requiring separate development for each use case. This multi-functional approach allows the same virtual device infrastructure to support measurement data collection, calculation processing, and AI application integration, thereby enhancing cloud adaptability while reducing overall development cost through code reuse and standardized interfaces
Data Source
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AI summary
A web application server (10) receives measurement data that is collected by a device (30), setting a first virtual device corresponding to the measurement data, and sets, when a calculation apparatus (20) that performs a predetermined calculation receives the measurement data and when acquiring first calculated data generated from the measurement data, a second virtual device corresponding to the first calculated data.