Operational Historian Report Curation for Network-Efficient Data Delivery
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Solution Overview
Problem
Industrial control systems face overwhelming volumes of data from sensors, overwhelming communications networks and user devices with irrelevant data, leading to resource inefficiencies.
Innovation Solution
A curating architecture that scores reports based on interest and urgency levels, routing relevant data to user devices through a communications network, thereby filtering out unnecessary information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor data is distributed to user devices, then complete information is provided to users, but network resources are overloaded and efficiency decreases
Solution Approach 1:
The curating service extracts and transmits only the relevant subset of historical process control data to user devices based on user profiles and current process conditions, rather than distributing all available data. This extraction principle filters out unnecessary information while preserving critical data for decision-making.
Solution Approach 2:
The system tailors data distribution to individual user needs by creating user-specific curations based on their roles, responsibilities, and preferences. Each user receives customized data relevant to their specific context, rather than a uniform distribution of all data to all users.
2Loss of information
If all sensor data is transmitted to user devices, then users have access to complete information, but user devices are overwhelmed with irrelevant data
Solution Approach 1:
The curating service extracts only the essential data elements needed for each user's decision-making process, removing extraneous information. This extraction is based on user profiles that define what data is relevant to each user's role and responsibilities.
Solution Approach 2:
The system provides customized data curations for each user based on their specific needs, making the information presentation adapted to individual users rather than applying a one-size-fits-all approach. This improves usability by presenting data in a context-relevant manner.
3Loss of information
If comprehensive data is distributed to all users, then full visibility is achieved, but network bandwidth is excessively consumed
Solution Approach 1:
The system extracts and transmits only the critical data elements required for each user's operational needs, significantly reducing the volume of data transmitted over the network while maintaining full visibility of essential process information for decision-making.
Solution Approach 2:
The curating service dynamically adjusts data transmission parameters based on user profiles, current process conditions, and data relevance scores. This allows the system to optimize network bandwidth usage by transmitting variable amounts of data depending on what is currently necessary for each user.
Data Source
AI summary
Targeted distributing of reports containing historical process control information to particular user devices via a communications network. A curating service permits assigning a score to each report based on an interest level value of the historical process control information to a user associated with each user device and/or an urgency value of the historical process control information. Routing reports to user devices based on the score raises visibility of the historical process control information without overburdening the communications network.