Automatic control method of generating sub-systems and sub-system arbitration from the deconstruction of a complex equipment graph
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Solution Overview
Problem
Current building automation systems face challenges in automatically discovering and managing complex equipment graphs, leading to inefficiencies in controlling and optimizing building systems such as HVAC, energy, and lighting.
Innovation Solution
The method involves automatically decomposing a complex equipment graph into sub-systems, enabling automatic semantic labeling and prioritization, and classifying sub-systems as synchronous or asynchronous, thereby facilitating machine-driven control and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If building automation systems use current methodologies to discover and manage complex equipment graphs, then they can control building systems, but the complexity of state space management increases and efficiency decreases
Solution Approach 1:
The patent segments the complex equipment graph into multiple sub-graphs based on equipment types, functions, and operational relationships. This segmentation reduces the overall state space complexity by dividing the large graph into smaller, more manageable sub-graphs that can be processed independently, thereby improving control efficiency without losing system-wide context.
2Extent of automation
If building automation systems manually configure and manage equipment graphs, then control precision can be maintained, but automation extent and time consumption increase
Solution Approach 1:
The system implements self-service by automatically discovering equipment and their relationships through sensor data, communication protocols, and equipment identifiers. The equipment graph is generated and updated autonomously without manual intervention, enabling the system to adapt to changes in building infrastructure dynamically and eliminating time-consuming manual configuration processes.
3Adaptability or versatility
If building automation systems decompose equipment graphs into sub-systems, then controllability and optimization capability improve, but the complexity of decomposition algorithms increases
Solution Approach 1:
The decomposition process applies local quality by analyzing specific local patterns and relationships within the equipment graph, such as equipment proximity, functional relationships, and operational dependencies. By focusing on local characteristics rather than attempting global optimization, the system generates meaningful sub-systems with improved controllability while keeping the decomposition algorithms computationally tractable.
Data Source
AI summary
Apparatuses, systems, methods, and computer program products are disclosed for organizing automatic control in automation systems from a system description, using deconstruction of complex equipment graphs. A system control scheme is automatically generated from a deconstruction of an equipment graph into controllable sets of prioritized sub-systems. An equipment graph comprises one or more subsystems of equipment. Prioritized sub-systems comprise a unique routing path through an equipment graph. Prioritized sub-systems comprise the ability to be actuated and are divided into groups of sub-system sets. Groups of sub-system sets comprise synchronous and asynchronous sets and are created for conjoined routing paths of parallel sub-systems.