Building Air Quality Heat Map Visualization
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Solution Overview
Problem
Building management systems face challenges in developing and deploying analytic and control algorithms that are time-consuming and lack flexibility, with output data being difficult for users to conceptualize in relation to physical building components.
Innovation Solution
A building system that ingests information from indoor air quality devices to generate heat maps of infection risk or particulate concentration, overlaying them onto a graphical model of the building, and provides recommendations for building layout adjustments, while also allowing users to select desk preferences and visualize desk locations within the building.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional analytic and control algorithms are developed and deployed in building management systems, then the system can process building data, but the development and deployment process becomes time-consuming and requires significant software development
Solution Approach 1:
The patent creates visual copies of building data through heat maps and graphical representations that mirror the underlying data structure. These visual copies enable users to understand and interact with building data without requiring complex analytical algorithms, thereby reducing development time while maintaining data processing capabilities.
Solution Approach 2:
The patent introduces visual intermediaries (heat maps, graphical models) between the raw building data and the user. These intermediaries translate complex data into intuitive visual formats, eliminating the need for time-consuming algorithm development while preserving the ability to process and analyze building data effectively.
2Productivity
If traditional analytic and control algorithms are used, then building data can be processed, but the output data becomes difficult for users to conceptualize and relate to physical building components
Solution Approach 1:
The patent applies local quality by creating heat maps that visually represent data characteristics at specific locations within the building. Each region of the heat map corresponds to a physical area in the building, allowing users to easily conceptualize and relate data output to actual physical components and spaces.
Solution Approach 2:
The patent transforms one-dimensional or abstract data into two-dimensional visual representations through heat maps and graphical models. This dimensional transformation makes the data spatially intuitive, enabling users to easily understand and relate output data to physical building components without complex algorithms.
3Ease of operation
If detailed building data is visualized, then user understanding improves, but the system complexity increases
Solution Approach 1:
The patent creates simplified visual copies of complex building data through heat maps and graphical representations. These copies maintain the essential information needed for user understanding while abstracting away the underlying system complexity, allowing detailed visualization without increasing actual system complexity.
Data Source
AI summary
A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to ingest information associated with a physical asset of a building, the physical asset being an indoor air quality device. The instructions further cause the one or more processors to cause a graphical model of the building to include a heat map of one of infection risk or particulate concentration overlaid onto a floor of the graphical model based on the information. The instructions further cause the one or more processors to generate a building layout recommendation based on the heat map of the one of the infection risk or the particulate concentration. The instructions further cause the one or more processors to cause a display device of a user device to display the graphical model including the heat map and the building layout recommendation within a user interface.