Building management system with graphic user interface for component operational efficiency
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Solution Overview
Problem
Building management systems (BMS) lack efficient methods to identify and implement alternative control algorithms for equipment to improve operational efficiency, leading to suboptimal performance and inefficiencies in HVAC systems.
Innovation Solution
A building efficiency management system that collects and analyzes data from BMS-controlled equipment, identifies operational inefficiencies, and generates a graphic user interface to present alternative control algorithms, allowing users to select and implement new algorithms, which can be purchased and installed through a transaction module, with the system monitoring and displaying changes in efficiency over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the BMS presents detailed equipment operational data and alternative control algorithms through a complex interface, then the user can make informed decisions to improve efficiency, but the interface complexity and difficulty of operation increase
Solution Approach 1:
The user interface is segmented into multiple hierarchical levels: a high-level dashboard showing key efficiency metrics and equipment status, drill-down views for detailed operational data, and separate sections for algorithm recommendations and implementation. This allows users to access comprehensive information without being overwhelmed by complexity at any single view level.
Solution Approach 2:
The system performs preliminary analysis of equipment data and generates algorithm recommendations automatically before user interaction. The controller pre-processes operational data, identifies efficiency opportunities, and prepares alternative control algorithms with predicted outcomes, so users receive ready-to-evaluate options rather than raw data requiring manual analysis.
2Productivity
If the BMS automatically implements control algorithm changes to improve efficiency, then productivity and energy savings increase, but the risk of system errors and loss of user control increases
Solution Approach 1:
The system implements a feedback loop where the controller monitors equipment performance, compares actual results with predicted outcomes from alternative algorithms, and provides users with performance validation. Users can see real-time feedback on whether implemented changes are achieving expected efficiency improvements, allowing for continuous adjustment and verification.
Solution Approach 2:
Before implementing control algorithm changes, the system performs preliminary simulations and predictions of expected performance improvements. The controller presents users with forecasted efficiency gains, energy savings, and potential risks, allowing informed decision-making before actual implementation occurs.
3Productivity
If the BMS provides comprehensive monitoring and control capabilities for all equipment, then the operational efficiency can be optimized, but the device complexity and implementation cost increase
Solution Approach 1:
The system applies different levels of monitoring and control sophistication to different equipment based on their individual efficiency potential and criticality. High-impact equipment receives comprehensive analysis and multiple algorithm options, while less critical equipment receives standardized monitoring. This localized approach optimizes efficiency where it matters most without uniformly increasing system complexity across all devices.
Solution Approach 2:
The controller is designed as a multi-functional platform that handles diverse equipment types (HVAC, lighting, security) through a unified interface and common analysis engine. Rather than requiring specialized systems for each equipment type, the single controller performs multiple functions including data collection, analysis, algorithm generation, and implementation across all building systems, reducing overall system complexity.
Data Source
AI summary
A building management system includes a building efficiency improvement system and method configured to monitor and control subsystems and equipment for improved efficiency of operation. A user device is configured to display a user interface for monitoring and controlling one or more building equipment efficiency parameters and settings. The building efficiency management system further includes a controller configured to collect and analyze data from equipment, generate displays of the operational status and efficiency levels, generate sets of alternative equipment control algorithms based on efficiency objectives, and present users with a set of alternative equipment control algorithms displayed via graphic user interface elements on the user device. The user device further provides a means to select and implement an alternate equipment control algorithm. The controller is further configured to receive inputs from the user device commanding changes to equipment controls and process transactions associated with changes to equipment configuration.