Building Information Model Feedback Assessment for Reliable Updates
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Solution Overview
Problem
Existing methods for training information models of buildings lack a systematic approach to assess the reliability and accuracy of such an information model of a building.
Innovation Solution
The proposed method implements a systematic approach to assess the feedback on a prediction of an information model of a building, in particular it is an object of the present invention to provide an improved method for assessing a feedback on a prediction of an information model of a building by receiving raw data, generating an information model, receiving user feedback, assessing the feedback, and determining an assessing result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user feedback is directly implemented into the information model without assessment, then the model can be quickly updated, but the reliability and accuracy may deteriorate due to incorrect or contradictory feedback
Solution Approach 1:
The patent implements a feedback assessment mechanism that evaluates user feedback before implementing it into the information model. The system assesses whether feedback is contradictory or incorrect, and only implements validated feedback, thus maintaining model reliability while still allowing updates. This creates a controlled feedback loop that filters out harmful inputs.
Solution Approach 2:
The patent introduces an intermediary assessment module that mediates between user feedback and the information model. This intermediary evaluates the feedback for contradictions and correctness before allowing it to modify the model, thus protecting the model's reliability while still enabling updates through validated feedback.
2Reliability
If all user feedback is assessed and validated before implementation, then the reliability of the information model is maintained, but the complexity of the system increases
Solution Approach 1:
The patent segments the feedback assessment process into distinct functional modules: receiving feedback, assessing for contradictions, determining correctness, and implementing or rejecting feedback. This segmentation makes the complex assessment system more manageable and modular, reducing overall system complexity while maintaining reliability.
Solution Approach 2:
The assessment system uses the feedback content itself and historical data to perform self-assessment for contradictions. The system automatically evaluates whether new feedback contradicts existing model elements or previous feedback, reducing the need for external validation and simplifying the assessment mechanism.
3Measurement precision
If feedback assessment includes comparison with historical feedback and contradiction detection, then the accuracy of model updates is improved, but the time required for assessment increases
Solution Approach 1:
The patent performs preliminary organization and indexing of historical feedback data before assessment is needed. By pre-structuring the historical data for efficient retrieval and comparison, the system reduces the time required for contradiction detection during actual feedback assessment, while maintaining high accuracy through comprehensive comparison.
Data Source
Figure 1~2
AI summary
A computer implemented method for assessing a feedback of an information model of a building, comprising: receiving raw data of a building; generating an information model of a building based on the raw data; receiving a feedback of a user for the generated information model; assessing the received feedback and determining an assessing result; providing the assessing result for further processing.