Rule-based deconfliction of overlapping data
US-2024185097-A1 · Jun 6, 2024 · US
US9514411B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9514411-B2 |
| Application number | US-201314107896-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 16, 2013 |
| Priority date | Nov 13, 2013 |
| Publication date | Dec 6, 2016 |
| Grant date | Dec 6, 2016 |
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A method for generating an operational rule associated with a building management system includes identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, correlating a first contextual attribute with the first pattern, and deriving the operational rule at least in part based on the first pattern and the first contextual attribute.
Opening claim text (preview).
What is claimed is: 1. A method for generating an operational rule associated with a building management system, comprising: identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, and identifying a second pattern associated with the series of operational observations; correlating a first contextual attribute with the first pattern, and correlating a second contextual attribute with the second pattern, wherein the first pattern is based on a first resolution and the second pattern is based on a second resolution; and deriving the operational rule at least in part based on the first pattern and the first contextual attribute, and the second pattern and the second contextual attribute. 2. The method of claim 1 , wherein the series includes a plurality of operational observations taken over a period of time. 3. The method of claim 1 , further comprising receiving a plurality of historical operational observations including the series. 4. The method of claim 1 , further comprising receiving a plurality of real-time operational observations including the series. 5. The method of claim 1 , wherein the property is a temperature setpoint. 6. The method of claim 1 , wherein the first contextual attribute is selected from a plurality of predetermined contextual attributes in a knowledge base. 7. The method of claim 1 , wherein the first contextual attribute is one selected from the following: a temporal context, a spatial context, a functional context, a descriptive context and a semantic context. 8. The method of claim 1 , further comprising associating a contextual classification with the property, wherein the first contextual attribute comprises the contextual classification. 9. The method of claim 1 , wherein the first contextual attribute comprises a contextual factor. 10. The method of claim 9 , further comprising: associating a contextual classification with the property; and correlating the contextual classification with the first pattern, wherein the operational rule further is derived at least in part based on the contextual classification. 11. The method of claim 1 , wherein deriving the operational rule further comprises applying a constraint to the first pattern or to the first contextual attribute. 12. The method of claim 11 , wherein deriving the operational rule further comprises: applying a tolerance to the first pattern; and detecting an operational anomaly based on the first pattern and the tolerance.
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