Recommendation Ranking System for Building Management Prioritization
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Solution Overview
Problem
Building management systems (BMS) generate numerous recommendations that are difficult for operators to prioritize effectively due to the overwhelming number of suggestions, making it challenging to determine which to address first.
Innovation Solution
A method and system for ranking recommendations based on context data, including user interest, current space utilization, environmental preferences, and organizational grouping, to calculate a score and prioritize recommendations for display, emphasizing the most impactful ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the BMS generates comprehensive recommendations to improve building management, then the quality and completeness of building management improves, but the number of recommendations increases making it difficult to prioritize
Solution Approach 1:
The patent segments recommendations into different categories (e.g., space utilization, energy efficiency, occupancy patterns) and applies prioritization rules to each category. This allows the system to manage comprehensive recommendations while organizing them in a structured manner that reduces the cognitive load on operators.
Solution Approach 2:
The system changes parameters such as recommendation priority scores, timing, and presentation format based on multiple factors including building context, user behavior patterns, and operational urgency. This transforms the raw list of recommendations into prioritized outputs that balance completeness with manageability.
2Loss of information
If the system provides detailed recommendations with context data, then the information completeness improves, but the complexity of processing and interpreting recommendations increases
Solution Approach 1:
The patent introduces an intermediary processing layer that automatically analyzes context data, calculates priority scores, and pre-ranks recommendations before presentation to operators. This intermediary system handles the complex processing and interpretation, allowing operators to receive detailed information without manually processing the complexity.
Solution Approach 2:
The system performs self-service by automatically generating, analyzing, and prioritizing recommendations based on built-in algorithms that consider multiple factors. This reduces the operational complexity for users while maintaining information completeness, as the system handles its own processing rather than requiring manual analysis.
3Measurement precision
If the BMS monitors and tracks multiple parameters for recommendations, then the accuracy of recommendation prioritization improves, but the operational complexity and data processing requirements increase
Solution Approach 1:
The patent implements a universal prioritization framework that handles multiple parameters (space utilization, energy consumption, occupancy patterns) through a single integrated scoring mechanism. This multi-functional approach improves prioritization accuracy across different building management domains while avoiding the need for separate complex processing systems for each parameter type.
Data Source
AI summary
A method of ranking recommendations includes receiving, by one or more processing circuits, a recommendation including an indication of an equipment fault, retrieving, by the one or more processing circuits, context data associated with the equipment fault, the context data including at least three of a first priority associated with the equipment fault, a work order status for a work order associated with the equipment fault, a monetary value associated with the equipment fault, a health parameter associated with the equipment fault, or a second priority associated with at least one of (i) a piece of equipment, (ii) a space, or (iii) an individual associated with the equipment fault, calculating, by the one or more processing circuits, a score for the recommendation based on the context data, and modifying, a work order queue or maintenance schedule based on the score.