Building Asset Timeseries Correlation for Faster BMS Work Orders
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Solution Overview
Problem
Building management systems (BMS) face delays in data presentation due to the need for raw timeseries data to be retrieved and processed in response to requests, which can hinder timely decision-making and resource utilization.
Innovation Solution
A system that monitors building assets for events, generates performance timeseries, and cross-correlates them to determine actionable insights, generating work-orders or performing operations based on these insights, thereby reducing the need for sequential processing and improving resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If raw timeseries data is stored in a relational database without significant organization or processing at the time of data collection, then device complexity is reduced, but data presentation speed deteriorates due to sequential retrieval and processing requirements
Solution Approach 1:
The system performs preliminary processing of timeseries data by generating organized views and aggregations at the time of data collection rather than waiting for query-time processing. This allows the data to be pre-structured in ways that enable faster retrieval and presentation when needed, resolving the contradiction between simple storage and fast presentation.
2Loss of information
If applications retrieve and process raw timeseries data in response to requests, then data freshness is improved, but productivity deteriorates due to delayed data presentation
Solution Approach 1:
The system pre-generates organized views of timeseries data at collection time, so that when applications need data, they can retrieve pre-processed information rather than performing sequential processing. This maintains data freshness while dramatically improving presentation efficiency.
Solution Approach 2:
The system dynamically generates multiple views of the same timeseries data in advance, creating adaptable representations that can serve different application needs simultaneously. This allows fast retrieval of context-appropriate data without sacrificing freshness or requiring reprocessing.
3Measurement precision
If sequential processing is used to retrieve and generate views of timeseries data, then measurement precision is maintained, but loss of time increases due to processing delays
Solution Approach 1:
The system performs data processing and view generation in advance during data collection, maintaining full measurement precision through careful processing. When data is needed, the pre-computed views are immediately available, eliminating the time loss associated with sequential processing while preserving accuracy.
Data Source
AI summary
A building system for assurance services with timeseries, the building system including one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to monitor a building asset for one or more events and generate a plurality of performance timeseries for the building asset based on the one or more events, determine an actionable insight for the building asset by cross-correlating the plurality of performance timeseries, and perform at least one of generating a work-order for the building asset based on the actionable insight and causing a display device of a user device to display the work-order or communicating with the building asset and causing the building asset to perform one or more operations based on the actionable insight.