Distributed Ledger Metering for Secure Process Plant Data Records
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Solution Overview
Problem
Process control systems in industrial plants face vulnerabilities to cyber intrusions, which can lead to equipment damage, product loss, and even human safety risks due to the lack of secure and immutable data recording and transaction verification.
Innovation Solution
The implementation of a distributed ledger system, such as a blockchain, within process control systems to record transactions and execute smart contracts, providing a secure, immutable, and trustless record of process parameters, product quality, and regulatory data, allowing for secure automation of transactions and data verification without relying on central authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized database system is used to store process control data, then data access and management are simplified, but the system becomes vulnerable to cyber intrusions and data tampering
Solution Approach 1:
The patent segments the centralized database into a distributed ledger network where data is divided across multiple nodes. Each node maintains a copy of the ledger, eliminating the single point of failure and vulnerability associated with centralized databases. This segmentation ensures that cyber intrusions cannot compromise the entire system by attacking a single central repository.
Solution Approach 2:
The patent introduces cryptographic hash functions and consensus mechanisms as intermediaries between data sources and the ledger. These intermediaries verify and validate data before it is recorded, creating a trustless system where data integrity is ensured through mathematical proofs rather than centralized authority. This intermediary layer protects against data tampering and cyber intrusions.
2Reliability
If distributed ledger technology is implemented to secure data recording, then data integrity and security are improved, but system complexity increases
Solution Approach 1:
The patent implements a universal ledger structure that can handle multiple types of process control data (telemetry, alarms, events) through a single standardized framework. This multi-functionality reduces the need for separate complex systems for different data types, making the overall architecture more manageable despite the distributed nature of the technology.
Solution Approach 2:
The patent changes the fundamental parameters of data storage from centralized to distributed, and from mutable to immutable. By systematically changing these parameters across the entire system, the patent creates a consistent new paradigm that, while complex initially, becomes more manageable through standardized protocols and automated consensus mechanisms.
3Reliability
If manual verification processes are used for data accuracy, then trust and verification are maintained, but processing time and operational efficiency decrease
Solution Approach 1:
The patent enables the distributed ledger system to perform self-verification through automated consensus mechanisms. Nodes automatically validate incoming data against existing ledger entries using cryptographic proofs, eliminating the need for manual verification processes. This self-service capability maintains high verification accuracy while dramatically increasing processing speed.
Solution Approach 2:
The patent implements immediate feedback loops where each node continuously monitors and validates data from other nodes. When data is introduced to the ledger, it triggers automated verification processes that provide real-time feedback on data integrity. This continuous feedback mechanism ensures verification accuracy without requiring slow manual processes.
Data Source
AI summary
To provide a trusted, secure, and immutable record of transactions within a process plant, techniques are described for utilizing a distributed ledger in process control systems. The distributed ledger may be maintained by nodes which receive transactions broadcasted from field devices, controllers, operator workstations, or other devices operating within the process plant. The transactions may include process plant data, such as process parameter data, product parameter data, configuration data, user interaction data, maintenance data, commissioning data, plant network data, and product tracking data. The distributed ledgers may also be utilized to execute smart contracts to allow machines such as field devices to transact by themselves without human intervention. In this manner, recorded process parameter values and product parameter values may be retrieved to verify the quality of products. Moreover, regulatory data may be recorded in response to triggering events so that regulatory agencies can review the data.