Modular Electrical Installation Control for Adaptive Data Integration
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Solution Overview
Problem
Existing control systems for electrical installations are not easily adaptable to changes and additions in data sources, and they do not account for the sensitivity of different data, leading to inefficiencies and security concerns.
Innovation Solution
A modular, hierarchical control system with aggregation components that can be added or removed to accommodate new data sources and physical model changes, along with encryption for sensitive data, ensuring adaptability and confidentiality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional control system architecture is used to process data from electrical installations, then the system can perform basic control functions, but the system becomes difficult to adapt when new data sources are added or when modifications are needed
Solution Approach 1:
The system is divided into independent aggregation components, each handling specific data sources or data types. These components can be added, removed, or modified independently without affecting the entire system, enabling easy adaptation to new data sources while maintaining manageable complexity.
Solution Approach 2:
The aggregation components are designed with universal interfaces and standardized data processing capabilities that can handle multiple types of data sources (sensitive and insensitive). This multi-functionality allows the same component architecture to serve various data processing needs without requiring system-wide modifications.
2Reliability
If all data sources are processed uniformly without differentiation, then the system architecture remains simple, but sensitive data such as CO2 levels cannot be protected appropriately
Solution Approach 1:
The system applies different processing qualities to different data types by routing sensitive data through aggregation components configured for confidential processing, while insensitive data follows standard processing paths. This local differentiation ensures data confidentiality without requiring complete system redesign.
Solution Approach 2:
Aggregation components serve as intermediary layers between raw data sources and the control logic. These intermediaries can apply appropriate processing treatments (including encryption or special handling for sensitive data) without exposing the complexity of data protection mechanisms to the rest of the system.
3Productivity
If the system processes all data with the same level of detail and processing, then the processing logic remains simple, but the system cannot account for different sampling time steps of different data sources
Solution Approach 1:
The aggregation components are designed to dynamically adapt their processing based on the characteristics of incoming data, including sampling time steps. Each component can adjust its processing rate and aggregation logic to match the specific temporal characteristics of different data sources, optimizing processing efficiency while handling diversity.
Data Source
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AI summary
One aspect of the invention relates to a control system (SP) of an electrical installation (IE), said installation (IE) comprising data sources (SDi) and a control device (DC) receiving control instructions ( PC); said steering system (SP) comprising a plurality of aggregation components (CAi), each aggregation component having at least one input connection and one output connection; a processing module (MT) connected to the aggregation components (CAi), the processing module (MT) being configured to supply, from the data coming from the said aggregation components (CAi), control instructions (CP) to the control device (DC) of the electrical installation (IE), said control instructions (CP) being established according to a physical model; and said physical model being chosen according to the data sources (SDi) by the processing module, the aggregation components (CAi) being chosen and connected to each other and to the data sources (SDi) according to said physical model.