Industrial Cloud Data Access Segmentation and Intermediary Routing

The patent segments the data processing function into multiple independent processing means (first data processing means, second data processing means, etc.), each capable of handling different types of data access requests through distinct processing methods. This segmentation enables flexible selection of appropriate processing means based on specific requirements while maintaining manageable system complexity through modular design.

The patent implements a universal data processing framework where multiple data processing means share common infrastructure and can be selectively activated. The system provides a unified interface for data access requests while supporting diverse processing strategies (local processing, cloud processing, edge computing, etc.), achieving multi-functionality without proportionally increasing overall system complexity.

The patent divides the data processing architecture into multiple independent processing paths (first data processing means, second data processing means) that can operate simultaneously. This segmentation allows critical real-time control functions to be handled by dedicated processing means with low latency, while non-critical functions use other processing means, achieving reliable real-time control without requiring complete architectural overhaul.

The patent introduces a data processing selection mechanism that acts as an intermediary between data access requests and multiple processing means. This intermediary intelligently routes requests to appropriate processing paths based on real-time requirements, enabling the system to achieve complex real-time control capabilities while maintaining a relatively simple overall architecture through centralized decision-making logic.

The patent segments data processing across multiple independent processing means distributed at different locations (cloud, edge, local). This segmentation enables parallel processing of data tasks, significantly improving processing efficiency and resource utilization. Meanwhile, each processing means operates with defined authority and data remains traceable, maintaining security and control through distributed architecture rather than centralization.

The patent transitions from a single-dimensional centralized processing model to a multi-dimensional distributed processing architecture. Data can be processed simultaneously at cloud level, edge level, and local device level, adding spatial and functional dimensions to the processing framework. This dimensional expansion improves efficiency through parallelism while maintaining security through layered control mechanisms.

The patent introduces strong computing power devices as intermediaries that assist devices with weak computing capabilities in processing data. The intermediary devices perform computationally intensive tasks such as data validation, security verification, and complex processing, while weak devices can still access and utilize data results. This intermediary mechanism enables high device compatibility while maintaining secure cooperation capability through the computational strength of supporting devices.

The patent creates a universal data access framework where devices with different computing capabilities can participate in data processing activities. Strong computing devices provide assistance functions (computation, validation, security) that benefit all accessing devices regardless of their individual capabilities. This multi-functional support system enables weak devices to access data securely by leveraging the capabilities of stronger devices in the ecosystem.