Hybrid Manufacturing Data Platform for Secure Cloud Factory Control
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Solution Overview
Problem
Current manufacturing environments face challenges in data collection and facility control due to limited access to data sources, incompatibility of hardware and software systems, security concerns, and the inability to integrate advanced analytics and AI into data management systems, leading to incomplete decision-making and inefficiencies across global operations.
Innovation Solution
A hybrid data analytics and manufacturing facility control system that allows secure data gathering, storage, and analysis, accessible both on-site and in the cloud, with AI and machine learning capabilities for anomaly detection and process optimization, enabling seamless integration of third-party apps and virtual reality, and providing redundancy and mobility for critical applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized data and facility control facility is implemented, then data accessibility and analysis capability are improved, but security risks and vulnerability to hacking increase
Solution Approach 1:
The system divides control functionality into two segments: a centralized cloud-based data analytics platform for data collection and analysis, and distributed local HMI systems for control operations. This segmentation allows data to be centralized for analysis while control remains distributed for security, resolving the contradiction between centralized data accessibility and security risks.
2Adaptability or versatility
If multiple factories are controlled by a centralized system, then operational standardization is improved, but impact of data connection loss increases
Solution Approach 1:
Each factory is equipped with local HMI systems that have the capability to operate independently without cloud connectivity. The local systems maintain control functionality and can continue operations even when disconnected from the centralized cloud platform, ensuring operational continuity while still allowing for standardized control interfaces across all facilities.
3Adaptability or versatility
If third-party applications are integrated into the system, then functionality and analytics capability are improved, but system complexity and integration difficulty increase
Solution Approach 1:
The HMI system is designed with universal integration capabilities that can work with multiple third-party applications and data sources through standardized interfaces. This multi-functionality allows the system to integrate various analytics tools and external data sources without requiring complex custom integration for each application, reducing overall system complexity.
Data Source
AI summary
The disclosure is directed to a system for integrating and centralizing multiple manufacturing software types into a consolidated platform. The system interfaces with third party software and performs data collection, data analytics, factory controls, virtual modeling, and checklist creation, as well as many other manufacturing applications. Artificial intelligence and machine learning are also integrated into the platform to assist with root cause analysis and increasing production efficiency.