G05B13/047

Complex adaptive systems metrology by computation methods and systems
11538592 · 2022-12-27 · ·

Methods and systems are described for a computer-implemented complex adaptive systems metrology (CASM) technique for generating universally and mathematically standardized scores that quantify longitudinal evidence for either temporal-interaction scores or temporal-interaction benefit-and-harm scores to determine a quantitative significance estimate of scores for either standardized temporal-interaction scores or the standardized temporal-interaction benefit-and-harm scores.

BUILDING DATA PLATFORM WITH GRAPH BASED PERMISSIONS

A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a request to access a portion of a building graph of the building from a system, the building graph including a plurality of nodes and a plurality of edges, the plurality of nodes representing entities of the building and the plurality of edges representing relationships between the entities of the building. The instructions cause one or more processors to determine whether the system has access to the portion of the building graph based on a policy indicated by the plurality of nodes and edges of the building graph and provide the portion of the building graph to the system in response to a determination that the system has access to the portion of the building graph.

Model predictive maintenance system for performing maintenance as soon as economically viable

A model predictive maintenance system for building equipment that performs operations including obtaining an objective function defining a cost of operating and performing maintenance on the equipment as a function of operating and maintenance decisions for time steps within a time period of a life cycle horizon and including performing a first computation of the objective function under a first scenario where maintenance is performed on the equipment during the period, a result of the first computation indicating a first cost. The operations include performing a second computation under a second scenario in which maintenance is not performed during the period, a result indicating a second cost. The operations include initiating an automated action to perform maintenance on the equipment in accordance with decisions defined by the first scenario if the first cost is less than or equal to the second cost.

BUILDING DATA PLATFORM WITH EVENT ENRICHMENT WITH CONTEXTUAL INFORMATION

A building system including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive an event from an event source, the event indicating a data value associated with the event source occurring at a particular time. The instructions cause the one or more processors to identify contextual data of a database that provides a contextual description of the event, generate an enriched event by enriching the event with the contextual data, the enriched event including the data value, the particular time, and the contextual data, and provide the enriched event to a consuming application configured to operate based on the enriched event.

Adaptively learning surrogate model for predicting building system dynamics from system identification model

Systems and methods for training a surrogate model for predicting system states for a building management system based on generated data from a system identification model are disclosed herein. The system identification model is used to generate predicted system parameters of a zone of the building based on historic data from operation of the building equipment. The surrogate model is trained based on the predicted system parameters from the system identification model. Predicted future parameters of the variable state of the building are generated using the surrogate model. The surrogate model is re-trained based on new operational data from the building equipment. An updated series of predicted future parameters is generated using the re-trained surrogate model.

CONTROL OF PROCESSING PARAMETERS FOR SUBSTRATE POLISHING WITH ANGULARLY DISTRIBUTED ZONES USING COST FUNCTION

Generating a recipe for controlling a polishing system includes receiving a target removal profile that includes a target thickness to remove for a plurality of locations on a substrate that are angularly distributed around the substrate, and storing a first function defining a polishing rate for a zone from a plurality of pressurizable zones of a carrier head that are angularly distributed around a the carrier head. The first function defines polishing rates as a function of pressures. For each particular zone of the plurality of zones a recipe defining a pressure for the particular zone over time is calculated by calculating an expected thickness profile after polishing using the first function, and minimizing a cost function that incorporates a first term representing a difference between the expected thickness profile and a target thickness profile.

CONTROL OF PROCESSING PARAMETERS FOR SUBSTRATE POLISHING WITH SUBSTRATE PRECESSION

Generating a recipe for a polishing process includes receiving a target removal profile that includes a target thickness to remove for locations spaced angularly around a center of a substrate, storing a first function providing substrate orientation relative to a carrier head over time, storing a second function defining a polishing rate below a zone of the zone as a function of one or more pressures of one or more zones of the carrier head, and for each particular zone of the plurality of zones, calculate a recipe defining a pressure for the particular zone over time. Calculating the recipe includes calculating an expected thickness profile after polishing from the second function defining the polishing rate and the first function providing substrate orientation relative to the zone over time, and applying a minimizing algorithm to reduce a difference between the expected thickness profile and the target thickness profile.

Building data platform with event enrichment with contextual information

A building system including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive an event from an event source, the event indicating a data value associated with the event source occurring at a particular time. The instructions cause the one or more processors to identify contextual data of a database that provides a contextual description of the event, generate an enriched event by enriching the event with the contextual data, the enriched event including the data value, the particular time, and the contextual data, and provide the enriched event to a consuming application configured to operate based on the enriched event.

BUILDING DATA PLATFORM WITH EVENT ENRICHMENT WITH CONTEXTUAL INFORMATION

A building system including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive an event from an event source, the event indicating a data value associated with the event source occurring at a particular time. The instructions cause the one or more processors to identify contextual data of a database that provides a contextual description of the event, generate an enriched event by enriching the event with the contextual data, the enriched event including the data value, the particular time, and the contextual data, and provide the enriched event to a consuming application configured to operate based on the enriched event.

Building data platform with event enrichment with contextual information

A building system including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive an event from an event source, the event indicating a data value associated with the event source occurring at a particular time. The instructions cause the one or more processors to identify contextual data of a database that provides a contextual description of the event, generate an enriched event by enriching the event with the contextual data, the enriched event including the data value, the particular time, and the contextual data, and provide the enriched event to a consuming application configured to operate based on the enriched event.