IIoT Production Data Management with Encrypted Image Transfer
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Solution Overview
Problem
Existing Industrial Internet of Things (IIoT) systems face security risks due to the exposure of sensitive production line data when uploading to cloud computing platforms, and setting up separate communication lines for different production lines is costly and complex.
Innovation Solution
A five-platform structure is implemented, with a centralized management platform in the cloud and a post-split sensor network platform, using encryption and decryption methods to securely transmit and process sensitive image data without altering the cloud computing architecture, ensuring secure data penetration and reducing networking costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If production line data is uploaded to cloud computing platforms for large-scale cloud computing, then manufacturing efficiency is improved, but sensitive data security is compromised
Solution Approach 1:
The patent introduces an encryption intermediary layer between the production line data collection and cloud computing platform. Image data is encrypted using cryptographic algorithms before being uploaded to the cloud, allowing cloud computing to process the data while preventing unauthorized access to sensitive information. The encryption acts as a mediator that enables both data utilization and security protection simultaneously.
Solution Approach 2:
The patent applies different quality treatments to different parts of the data system. Sensitive image data undergoes encryption transformation while other non-sensitive production data remains in plain form. This localized encryption approach ensures that only critical data receives enhanced security protection, optimizing the balance between security and computational efficiency.
2Reliability
If separate communication lines are set up for different production line data, then data security is improved, but networking cost and system complexity increase
Solution Approach 1:
The patent merges multiple production line data streams into a single unified communication channel (the cloud platform) while applying encryption to sensitive portions. Instead of creating separate physical communication lines for each production line, the system combines all data transmission through one platform and uses software-based encryption to provide security, thereby reducing networking complexity while maintaining security.
Solution Approach 2:
The patent creates encrypted copies of sensitive image data for cloud transmission while the original data remains at the source. This copying approach allows the same communication infrastructure to be used for both encrypted and unencrypted data, eliminating the need for separate dedicated lines while ensuring that sensitive information is protected during transmission and storage.
Data Source
AI summary
The present disclosure discloses Industrial Internet of Things (IIoT) system for industrial production data management, control method, and storage medium. By adopting different encryption methods for different image data, and without changing the overall architecture of the cloud computing Internet of Things, the safe penetration of sensitive data on the cloud computing platform is realized, which effectively improves the security of sensitive data. In addition, it does not require additional wiring, reducing the networking cost of the Internet of Things, which has high applicability.