Manufacturing Cloud UI with Service Mesh for Secure Data Sharing
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Solution Overview
Problem
Current cloud-based industrial solutions face challenges such as data accessibility across data centers, security issues, and data sharing limitations due to architectural limitations of existing cloud platform architectures, hindering wider implementation.
Innovation Solution
A multi-tenant Software-as-a-Service (SaaS) manufacturing platform with a service mesh system that manages data routing and security, uses artificial intelligence for data analysis and user interface customization, and employs blockchain technology for secure data sharing and access control, allowing for scalable and secure data management across geographically distributed facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud-based industrial solutions are implemented, then data accessibility and scalability are improved, but security issues and data sharing limitations arise
Solution Approach 1:
The patent implements a service mesh architecture that acts as an intermediary layer between cloud services and data centers. This service mesh includes intelligent routing capabilities that securely manage data flow between multiple data centers while maintaining access control policies, thus enabling data accessibility without compromising security.
Solution Approach 2:
The system segments data centers into multiple isolated environments with controlled access points. Each data center operates as an independent unit with its own security policies, allowing selective data sharing while maintaining overall security. This segmentation enables multi-tenant architecture where different enterprises can share cloud resources with proper isolation.
2Productivity
If multi-tenant cloud architecture is used, then scalability and cost efficiency are improved, but data sharing concerns and architectural complexity increase
Solution Approach 1:
The service mesh architecture provides universal routing and security management capabilities that work across all data centers and cloud services. This multi-functional approach consolidates what would otherwise be separate management systems, reducing architectural complexity while maintaining scalability across multiple tenants and data centers.
Solution Approach 2:
The system implements intelligent routing with feedback mechanisms that automatically adjust data flow based on security policies, load conditions, and data center status. This automated feedback loop reduces the need for manual configuration and management, thereby reducing architectural complexity while maintaining scalable operations.
3Adaptability or versatility
If data is shared across data centers, then collaboration and operational coordination are improved, but security risks and data protection challenges increase
Solution Approach 1:
The service mesh acts as a secure intermediary that mediates all data sharing operations between data centers. It enforces security policies, authenticates access requests, and controls data flow, thereby enabling collaboration between enterprises while mitigating security risks through centralized security management.
Solution Approach 2:
The system applies different security policies and access control levels to different data centers and data types. Each data center can have customized security requirements and sharing policies tailored to its specific needs, allowing secure data sharing while maintaining appropriate security levels for each local context.
Data Source
AI summary
A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing platform offers a variety of industrial applications to end customers—including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM)—and implements associated architectural features that address a number of issues relating to data sharing, security, scalability, and other concerns.