Rockwell Automation Technologies Incorporated

David Bradly Berman

Linglai Li

Benfeng Tang

Phillip R Bush

Steven A Lombardi

Sean Charles Schmelzer

Chao Chen

David Dale Brandt

Michael Lee Gasperi

John Patrick Caspers

Steven T Haensgen

Alex Laurence Nicoll

Philip John Kaufman

David M Messersmith

Tao Song

Yutao Wang

Zhen Wei

Noel Henderson

David W Siegler

Kun Wei

Guolin Zhang

Yanbin Zhang

Richard Arthur Morgan

Fred M Discenzo

Xiaolong Zhang

Jeffrey Scott Martin

Mark E Delker

Xuyuan Xiao

Fredrick M Discenzo

Xuyyan Xiao

Bingchao Tang

Liz V Bahl Prosak

Jeffrey S Martin

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 component includes first and second switches in series and connected between a power source and a coil of contacts of a safety relay. A first controller controls the first switch with a close signal that closes the first switch or a first PWM signal that opens and closes the first switch on each PWM cycle. A second controller controls the second switch with a close signal that closes the second switch or a second PWM signal that opens and closes the second switch on each PWM cycle. A PWM sensing circuit connected to the coil sends a sensed PWM signal to an input of the first and second controllers. The first controller sends the first PWM signal while the second controller sends a close signal and vice-versa. The controllers verify that the received PWM signal matches the sent PWM signal.

Dual PWM relay driver with diagnostics for functional safety system

For function block framework generation, a method generates a function block framework for a hardware device. The function block framework includes function block framework source code and a function block framework description. The hardware device includes a logic engine and automation hardware. The function block framework presents a standard interface to a function block core executed by the logic engine. The method instantiates the function block framework and the function block core as an executable image for the hardware device. The method further configures the logic engine to execute the executable image using the function block framework description. The method executes the executable image with the logic engine.

Function block framework generation

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

Systems and methods self-organize a multifunctional power and energy control and management system by integrating multiple backplane based modules through module descriptions, the module descriptions including control logic and parameters associated with the modules. Dynamic data table structures may be configured based on information provides with the module descriptions and provide for improved data accessing, storing, and updating.

Data table structure for self-organized management of communication with functional modules coupled via backplane assembly based on received module description including control logic

Growing community of inventors

Franklin, WI, United States of America

David Bradly Berman