Rockwell Automation Technologies Incorporated

Phillip R Bush

Linglai Li

David Bradly Berman

Benfeng Tang

Sean Charles Schmelzer

Steven A Lombardi

David Dale Brandt

Michael Lee Gasperi

Steven T Haensgen

Alex Laurence Nicoll

James Peter Miller

Philip John Kaufman

Theodore John Houck, Iii

Noel Henderson

Kun Wei

Guolin Zhang

William R Berry

Robert Alfred Duchrow

Richard Arthur Morgan

Xiaolong Zhang

Fred M Discenzo

Xuyuan Xiao

Fredrick M Discenzo

Various embodiments of the present technology generally relate to power topology discovery in industrial environments. More specifically, some embodiments relate to automatic power topology discovery for factories based on device data that is already recorded for other purposes. Systems and methods described herein may be used to generate an accurate electrical network topology by collecting power data from power devices that may provide real-time or recorded measurements, detecting power change events, and matching power change signatures over power events for the devices in order to calculate the likelihoods of possible topology assumptions. Power change event data is used to recursively update topology probabilities using the Bayesian formula until a system topology can be produced with satisfactory confidence.

Systems and methods for automatic power topology discovery

A system includes a plurality of power monitors that, in operation, monitor parameters of power in an automation system at points between loads and/or power sources. Each of the power monitors includes sensing circuitry to sense the power parameters, peer-to-peer communications circuitry to communicate with other power monitors via peer-to-peer communication, network communications circuitry to communicate with automation devices via a network, and functional circuits to perform analysis of monitored power parameters in a cooperative manner based upon the power parameters monitored by the respective power monitor and power parameters monitored by other power monitors communicated via peer-to-peer communication.

Systems and methods for monitoring power

An energy monitoring system includes a memory storing instructions to execute an energy modeling technique and processing circuitry for executing the instructions to operate the energy modeling technique. The energy modeling technique includes receiving energy data from a plurality of segments representative of one or more logical subgroups. The energy modeling technique includes categorizing the energy data of the logical subgroups into a plurality of segments. The energy modeling technique includes organizing the plurality of segments into a plurality of state-based hierarchical levels. The energy modeling technique includes calculating energy usage and factors associated with the plurality of state-based hierarchical levels via an energy model. The energy modeling technique includes outputting a visualization representative of the energy data corresponding to each of the segments to a monitoring and control system, resulting in a graphical representation accessible by a user-viewable screen.

State-based hierarchy energy modeling

An apparatus includes an upstream/downstream probability module that determines, for each measurement point in an electrical power system, an upstream/downstream probability. The apparatus includes a zone module that identifies a plurality of zones within the power system and an upstream/downstream module that identifies, for each measurement point and for each zone, if a power quality event in a zone is upstream or downstream of a measurement point. The apparatus includes a zone probability module that determines a zone probability for each zone by multiplying the upstream probability or the downstream probability for each measurement point. The zone probability is a probability that the event happened in a zone. The zone probability module uses the upstream probability of a measurement point when the zone is upstream of the measurement point and uses the downstream probability when the zone is downstream of the measurement point.

Power quality event localization by multiple indexes

A gas diverter is disclosed that slows, cools, and directs the hot gas and plasma generated during the operation of an electrical switching device. The gas diverter mounts to the switching device and has an inlet for accepting the gas and exit for expelling the gas. The diverter has peripheral walls and internal partitions that divide the gas and provide for two independent circuitous flow paths. In multi-phase switching devices, a plurality of gas diverters may be used to further separate the gases generated in each respective phase. The gas diverter is made of a high temperature, arc resistant plastic which is molded to form a two piece structure. The gas diverter is mounted to the device via a slide in place flange-channel mechanism.

Gas diverter for an electrical switching device

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New Berlin, WI, United States of America

Phillip R Bush