Building Recommendation Interface for Faster Equipment Control Decisions
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Solution Overview
Problem
Managing the operation of building equipment is challenging due to the complexity and time-consuming nature of making numerous equipment settings and operational decisions efficiently.
Innovation Solution
A building system with a recommendation engine that generates user interfaces allowing users to select and implement recommendations for controlling building equipment, categorized by health levels of spaces, environmental impact, and occupant health, with automatic implementation upon user acceptance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user manually controls building equipment settings and operational decisions, then the user has full control over equipment operation, but the process becomes time-consuming and difficult due to the large number of decisions required
Solution Approach 1:
The building system automatically generates operational decisions and control settings for building equipment without requiring manual user input. The system monitors building data, generates recommendations, and can automatically implement control updates to equipment settings, allowing the system to serve itself in making operational decisions.
Solution Approach 2:
A recommendation engine acts as an intermediary between the user and building equipment control. The engine processes building data, generates multiple control recommendations, and presents them to the user through a user interface, mediating the complex decision-making process and reducing the time and effort required for manual control.
2Loss of information
If the system provides detailed control options for building equipment, then the user can make informed decisions, but the complexity of the control interface increases
Solution Approach 1:
The control interface is segmented into multiple user interface elements, each associated with specific categories of building equipment or operational parameters. Recommendations are organized and displayed in categorized groups, allowing users to navigate and make decisions about specific equipment without being overwhelmed by the entire system's complexity.
Solution Approach 2:
The recommendation engine performs preliminary analysis of building data and pre-processes control options before presenting them to the user. By generating and organizing recommendations in advance, the system reduces the cognitive load on users and simplifies the decision-making interface while maintaining comprehensive information availability.
3Productivity
If the system automatically implements control updates without user input, then operational efficiency increases, but the user loses control over equipment settings
Solution Approach 1:
The system provides feedback to users through the user interface, presenting generated recommendations and control updates for review. Users can see what changes are proposed, accept or reject them, and provide input that feeds back into the recommendation engine, maintaining user control while enabling efficient automated operation.
Solution Approach 2:
The system dynamically adjusts its level of automation based on user preferences and operational context. Users can configure the degree of automatic implementation, allowing the system to be fully automated for routine operations while requiring user approval for significant changes, balancing efficiency with user control.
Data Source
AI summary
A building system including one or more memory devices that store instructions thereon, that, when executed by one or more processors, generate a user interface including user interface elements, wherein a first user interface element of user interface elements is associated with a first category and includes one or more first recommendations that are associated with the first category and one or more first selection fields allowing a user to select recommendations for implementation from among the one or more first recommendations and a second user interface element of the user interface elements is associated with a second category and includes one or more second recommendations that are associated with the second category.