Containerized Asset Model Deployment for Secure Plant Optimization
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Solution Overview
Problem
Industrial plants face challenges in monitoring and maintaining equipment due to varying maintenance schedules and the need to protect proprietary information and data security for both suppliers and operators.
Innovation Solution
A method involving the use of an obfuscated containerized model with an API, where the model is generated in a supplier runtime environment and received by a user container runtime environment through a container registry, allowing for secure transmission and execution of the model without exposing proprietary information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the supplier provides a detailed computer model to the plant operator, then the model accuracy and optimization capability improve, but the risk of proprietary information leakage increases
Solution Approach 1:
The patent creates a copy of the supplier's computer model and deploys it in a containerized environment at the plant operator's location. This copy enables the operator to use the model for predictions and optimization without the supplier's proprietary information being exposed. The containerized model functions independently while maintaining accuracy, resolving the contradiction between model utility and information security.
2Measurement precision
If the plant operator shares plant data with external suppliers, then the model training and prediction accuracy improve, but the data security and confidentiality risk increases
Solution Approach 1:
The containerized model acts as an intermediary that receives plant data locally and performs predictions without requiring data transmission to external suppliers. The model is trained initially using supplier data, then deployed to process operator data on-premises. This intermediary approach enables accurate predictions while keeping operator data secure and confidential.
3Productivity
If the supplier develops a highly accurate custom model, then the optimization capability improves, but the complexity of model deployment and maintenance increases
Solution Approach 1:
The patent creates a universal containerized model deployment framework that can accommodate different supplier models and plant configurations through standardized interfaces. The containerization approach provides a consistent deployment mechanism across various platforms, reducing complexity while maintaining optimization capability. The model can be updated and maintained through standardized container management practices.
4Reliability
If the plant equipment is monitored continuously for safety, then the safety reliability improves, but the data processing load and system complexity increases
Solution Approach 1:
The patent segments the monitoring system into modular components: sensor data collection, containerized model processing, and result interpretation. Each component operates independently with defined interfaces, reducing overall system complexity while enabling continuous safety monitoring. The containerized model specifically handles predictive safety assessments, separating this function from general monitoring operations.
Data Source
AI summary
The present teachings relate to a method comprising: receiving at a user container runtime environment, via a container registry, an image of an obfuscated containerized model of an asset; wherein the containerized model comprises an API, and wherein the containerized model has been generated in a supplier runtime environment located within a supplier network environment, interfacing, with a model execution logic, the API of the containerized model image, wherein the interface comprises a process data signal that is transmitted to the API of the model image, and a model result data signal that is transmitted from the API of the model image; wherein the process data signal comprises data related to the usage conditions of the asset, and the model result signal is indicative of the response of the asset to at least some of the usage conditions, wherein the user container runtime environment is located within a user network environment which is isolated from the supplier network environment. The present teachings also relate to a method for transmitting a model of an asset, a method for transmitting an augmented model, a computer software product and a computer network arrangement.