Building Site Timeline with Event Markers for Lifecycle Data
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Solution Overview
Problem
Current building management systems (BMS) face challenges in efficiently collecting, aggregating, and presenting historical data related to building performance and health, making it difficult to assess system performance and provide recommendations for improvement.
Innovation Solution
A method that involves receiving data from multiple building applications, aggregating it in a predetermined format, filtering to identify isolated events, generating a timeline of these events, and presenting it on a graphical user interface with event markers, allowing for easy visualization and analysis of building performance and health over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from multiple separate building applications is collected and aggregated, then comprehensive building performance information is obtained, but data complexity and difficulty of analysis increase
Solution Approach 1:
The patent segments building data into distinct event types (install events, service events, performance events) with standardized fields and structures. Each event type has predefined attributes that organize complex data into manageable, categorized units that can be independently processed and analyzed.
Solution Approach 2:
The patent introduces an intermediary layer (the standardized event data structure and timeline generation system) that sits between multiple building applications and the analysis interface. This intermediary aggregates, standardizes, and transforms data from various sources into a unified format, eliminating the need for direct complex integration between applications.
2Loss of information
If historical building data is aggregated from multiple sources, then complete building lifecycle information is available, but ease of operation and visualization deteriorates
Solution Approach 1:
The patent segments historical building data into discrete, time-ordered events with standardized attributes. This segmentation transforms continuous complex data into distinct, easily identifiable event markers that can be visually represented on a timeline interface, improving readability and ease of operation.
Solution Approach 2:
The patent transforms multi-dimensional complex data from multiple building applications into a one-dimensional time-based timeline representation. By organizing all building events along a temporal axis with standardized event markers, the system simplifies data visualization while preserving comprehensive lifecycle information.
3Measurement precision
If detailed building performance data is collected, then assessment accuracy improves, but data processing time and resource requirements increase
Solution Approach 1:
The patent segments building performance data into standardized event types with predefined structures. This segmentation enables efficient processing by allowing the system to handle each event type with specialized, optimized routines rather than processing all data uniformly, reducing overall processing time while maintaining assessment accuracy.
Solution Approach 2:
The patent changes the parameter representation of building data by transforming raw application data into standardized event parameters with consistent formats and schemas. This parameter standardization enables more efficient data processing and querying operations while preserving the precision needed for accurate building health assessment.
Data Source
AI summary
A method comprising receiving data relating to a building site from a plurality of separate building applications, aggregating the received data from the plurality of separate building applications in accordance with a predetermined format, where the aggregated data represents a plurality of events associated with the building site over a lifecycle of the building site, filtering the aggregated data to identify a plurality of isolated events associated with the building site over the lifecycle of the building site, where each of the plurality of isolated events includes a time associated with the isolated event, generating a timeline comprising the plurality of isolated events, wherein the timeline is arranged based on the time associated with each isolated event, and providing the timeline on a graphical user interface, where each of the plurality of isolated events includes an event marker on the timeline representative of the isolated event.


