Context-Based Twin Functions for Automated Building Graph Processing
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Solution Overview
Problem
The existing building data processing systems require users to manually review and identify necessary data elements from retrieved data sets, leading to inefficiencies and potential errors in processing building data.
Innovation Solution
A building system that receives queries with context parameters, automatically retrieves relevant data, performs processing operations, and generates results without user input, using a twin function that monitors changes in a building graph and executes based on context and events to provide responsive processing results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual review and identification of data elements is required, then user control over processing is maintained, but processing efficiency decreases and errors increase
Solution Approach 1:
The system performs self-service by automatically identifying necessary data elements and executing processing operations without requiring user review or identification of operations. The contextual query trigger mechanism enables the system to autonomously determine what processing is needed based on the query context, eliminating manual intervention while maintaining appropriate control through the predefined context parameters.
2Extent of automation
If contextual query triggered processing with twin functions is implemented, then automation and efficiency improve, but system complexity increases
Solution Approach 1:
The system applies preliminary action by pre-defining contextual parameters and twin function structures that guide automatic processing. The context embedded in queries预先 specifies the intended processing operations, allowing the system to automatically execute appropriate twin functions without ad-hoc decision-making, thereby managing complexity through structured pre-planning.
Solution Approach 2:
The contextual query acts as an intermediary between user intent and system execution. By embedding processing instructions within the query context rather than requiring separate operation specifications, the system mediates between simple user queries and complex processing operations, reducing the apparent complexity while maintaining automation capability.
3Speed
If user intervention is reduced through automated operation identification, then processing speed increases, but potential for incorrect processing operations increases
Solution Approach 1:
The system implements feedback through the context parameter that specifies the intended purpose and expected outcomes of processing operations. This contextual feedback mechanism guides the automatic selection and execution of twin functions, ensuring that processing operations align with user intent while maintaining high speed execution without manual review.
Data Source
AI summary
One implementation of the present disclosure is a system including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a selection including a context and a twin function and generate an operation to monitor a graph based on the context, the operation identifying whether one or more new events are added to the graph, the one or more new events affecting a processing result. The instructions cause the one or more processors to cause the twin function to execute responsive to identifying the one or more new events added to the graph that affect the processing result, execute the twin function based on the one or more new events and the context to generate the processing result.