BMS Readiness Verification for Smart Feature Activation
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Solution Overview
Problem
Building management systems (BMS) face challenges in efficiently monitoring and optimizing performance due to complexity, difficulty in verifying system performance, and underutilization of available features, especially in large facilities with dynamic HVAC requirements, leading to labor-intensive management and suboptimal energy and cost savings.
Innovation Solution
A method involving scanning to determine available resources, comparing them to requirements for smart building features, and implementing updates to bring the system into compliance, which includes predicting expenses and indicating comparisons between costs and savings, and utilizing fault detection, predictive maintenance, and other advanced features like digital twins and carbon emissions management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advanced control strategies and smart building features are implemented, then system performance and energy efficiency are improved, but device complexity and implementation cost increase
Solution Approach 1:
The system performs preliminary scanning to assess resource availability and automatically determines the difference between available resources and requirements before implementing updates. This preliminary action ensures that advanced features are only activated when system resources can support them, preventing complexity issues while maintaining performance benefits.
Solution Approach 2:
The system continuously monitors BMS performance metrics and resource availability, then provides feedback to automatically adjust feature activation and trigger updates when needed. This feedback mechanism ensures the system maintains optimal performance while adapting to changing resource conditions, resolving the contradiction between reliability and complexity.
2Measurement precision
If comprehensive monitoring and verification of BMS performance is implemented, then system optimization opportunities are identified, but labor intensity and time consumption increase
Solution Approach 1:
The system performs self-verification by automatically scanning BMS resources, comparing them against requirements, and identifying performance issues without human intervention. The automated readiness verification and update implementation eliminate the need for manual labor while maintaining comprehensive monitoring, thus resolving the contradiction between measurement precision and time consumption.
Solution Approach 2:
The patent replaces manual verification processes with automated digital scanning and analysis systems. The computer-implemented method uses software to automatically assess resource availability, compare it with requirements, and determine update needs, substituting mechanical human labor with automated computational processes that are both precise and time-efficient.
3Adaptability or versatility
If BMS systems are modified with new features and devices over time, then functionality is enhanced, but difficulty in monitoring changes and determining performance impact increases
Solution Approach 1:
The system provides continuous feedback by scanning BMS resources and comparing current state against requirements after modifications. This feedback mechanism automatically detects changes, assesses their impact on resource availability and feature readiness, and triggers appropriate updates, making change monitoring straightforward despite enhanced functionality.
Solution Approach 2:
Before implementing modifications, the system performs preliminary scanning to establish a baseline of resource availability. After changes are made, it compares the new state against the baseline and requirements, enabling easy detection and measurement of changes and their performance impact while maintaining adaptability.
4Reliability
If automated readiness verification and update implementation are implemented, then feature activation compliance is improved, but use of computing resources increases
Solution Approach 1:
The system performs partial verification by scanning only the specific resources and features relevant to the activation decision, rather than comprehensively analyzing the entire BMS. This selective approach maintains high compliance accuracy while reducing computing resource consumption to acceptable levels.
Solution Approach 2:
The automated verification system operates efficiently by self-managing the scanning and assessment process, activating features only when resource availability confirms readiness. This self-service approach ensures compliance without requiring excessive computing resources, as the system intelligently processes only necessary information.
Data Source
AI summary
A method includes running a scan configured to determine available resources of a building management system, determining a difference between the available resources and requirements of a smart building feature, determining one or more updates to the building management system expected to eliminate the difference, and implementing the one or more updates.