General Electric Company

Other

General Electric Corporation Gmbh

Joseph James Salvo

John William Carbone

Patricia Denise Mackenzie

Benjamin Edward Beckmann

Lynn Ann DeRose

Daniel John Messier

Timothy Mark Sivavec

Sunita Singh Baghel

Peter Koudal

Janet Sue Bennett

Walter Charles Yund

Dan Yang

Charles Burton Theurer

Andrew Philip Shapiro

James Lawrence Spivack

John Yupeng Gui

Adam Joseph McCann

Bouchra Bouqata

William Leonard

Thomas Anthony Morelli, Ii

Bang M Kim

Douglas Roy Forman

Brandon Stephen Good

Li Zhang

Roy F Thornton

Sandra F Feldman

David Paul Mobley

Emily Yixie Shu

David Key Dietrich

Donald R Berdahl

Angelo Anthony Bracco

Stephen Lan-Sun Hung

Annarita Giani

Joseph Edward Jesson

Tara Healy Wight

Roman Brusilovsky

Evelyn Tackla Malloy

Richard Karl Hansen

Rose Alice Hanzlik

Heather Ann Relyea

Douglas Peters

Srinivas Krishnashany Bagepalli

Ben Nielsen

Matthew John Englund

Junrong Yan

Morgan Fredric Intrator

Patricia MacKenzie

Nicolas Auguste Constant Schieli

Srinivas Krishnasnamy Bagepalli

Lynn-Ann DeRose

According to some embodiments, a system may include an additive manufacturing platform that provides additive manufacturing capability data. A customer platform, associated with a customer, may transmit an industrial asset item request for an industrial asset item. A digital transaction engine may receive the additive manufacturing capability data and the industrial asset item request. The digital transaction engine may then associate the industrial asset item request with an industrial asset definition file, and, based on the additive manufacturing capability data and the industrial asset definition file, assign the industrial asset item request to the additive manufacturing platform. The assignment of the industrial asset item request may be recorded via a secure, distributed transaction ledger. Responsive to the assignment, the additive manufacturing platform may create the industrial asset item (e.g., via an additive manufacturing printer) and provide the item to the customer.

Intellectual property exchange ecosystem for additive manufacturing

Some embodiments provide a system to facilitate transaction processing associated with an industrial asset supply chain having a first entity and a second entity. A first entity computer processor may retrieve, from a first entity database, information associated with pre-delivery data about the industrial asset. The first entity computer processor may then record pre-delivery data about the industrial asset via a secure, distributed transaction ledger. A second entity computer processor may retrieve, from a second entity database, information associated with a post-delivery event involving the industrial asset. The second entity computer processor may then record post-delivery event data about the industrial asset via a secure, distributed transaction ledger. The post-delivery event data might indicate, for example, that the industrial asset has been delivered, has been installed, is working properly, has been used, etc.

Blockchain enabled transaction processing for an industrial asset supply chain

According to some embodiments, a system may facilitate collaborative transaction processing associated with a supply chain having a first entity and a second entity. In particular, a first entity database may store electronic records including information associated with at least a portion of the supply chain, and a first entity communication port may exchange information via a distributed computer system. A first entity computer processor may retrieve from the first entity database the information associated with the at least a portion of the supply chain. A subset of information about the supply chain may be identified by the first entity computer processor as being of interest to the second entity. The identified subset of information about the supply chain may then be recorded via a secure, distributed transaction ledger.

Blockchain enabled collaborative transaction information processing for a supply chain

According to some embodiments, a system may include an additive manufacturing platform that provides additive manufacturing capability data (e.g., a printer model number, a printer resolution, etc.) to a model customization platform. The model customization platform may receive the additive manufacturing printer capability data and retrieve, from an additive manufacturing model data database, a primary engineering model associated with an industrial asset item. The model customization platform may then create a customized version of the primary engineering model in accordance with the additive manufacturing printer capability data and the primary engineering model. The customized engineering model can then be transmitted to the additive manufacturing platform (e.g., to be printed to create the industrial asset item).

Distribution of customized engineering models for additive manufacturing

A computer-implemented system includes an edge module and at least one input device coupled to the edge module. The at least one input device is configured to generate data input signals. The system also includes a cognitive module coupled to the edge module. The cognitive module includes a perception sub-module coupled to the edge module. The perception sub-module is configured to receive the data input signals. The cognitive module also includes a learning sub-module coupled to the perception sub-module. The learning sub-module is configured to adaptively learn at least in part utilizing the data input signals.

Computer-implemented system with adaptive cognitive features and method of using the same

A method of generating an output vector to identify a character-of-interest using a sparse distributed memory (SDM) module. The method includes obtaining a feature vector having a vector address. The feature vector is based on a character-of-interest in an acquired image. The method also includes identifying activated locations from hard locations by determining relative distances between the vector address and the stored vector location addresses. Stored content counters of the activated locations include first and second stored sub-sets of counters. The method also includes combining the counters of the first stored sub-sets of the activated locations using a first summation thread to provide a first combined sub-set of values. The method also includes combining the counters of the second stored sub-sets of the activated locations using a second summation thread to provide a second combined sub-set of values. The first and second summation threads are run in parallel.

System and method for identifying a character-of-interest

A system and method for identifying characters using a processor and a sparse distributed memory (SDM) module. The system and method are configured to receive image data relating to an object having a surface with physical markings thereon. The physical markings include characters-of-interest. The system and method are also configured to analyze the image data to convert at least one of the characters-of-interest in the image data into a corresponding feature vector. The system and method are also configured to identify the characters-of-interest using the feature vector and the SDM module. A suggested identity for the characters-of-interest is provided.

System and method for identifying physical markings on objects

A telematics system in an asset network is provided. The telematics system includes one or more sensors configured to acquire data from multiple assets at different locations in the asset network. The telematics system also includes a transceiver configured to receive the data acquired from the one or more sensors. The telematics system further includes a data analysis system. The data analysis system includes a central data server configured to receive the data transmitted from the transceiver. The data analysis system also includes a processing circuitry configured to combine data, analyze combined data to detect trends, generate value added services based on the detected trends and distribute the value added services to multiple end users.

System and method to provide value added services in an asset network

A system for processing a computational task is presented. The system includes a plurality of nodes operationally coupled to one another via one or more networks. The plurality of nodes includes a base node including a processing subsystem configured to receive the computational task, select a subset of available nodes from the plurality of nodes based upon a present status, processing capability, distance, network throughput, range, resources, features, or combinations thereof of the plurality of nodes, divide the computational task into a plurality of sub-tasks, distribute the plurality of sub-tasks among the subset of available nodes based upon a number of nodes in the subset of available nodes, completion time period allowed for the plurality of sub-tasks, a distribution criteria, level of security required for the completion of the plurality of sub-tasks, resources available with the subset of available nodes, processing capability of the subset of available nodes, range of the subset of available nodes, features in the subset of available nodes, reliability of the subset of available nodes, trust in the subset of available nodes, the current load on the subset of available nodes, domain of the plurality of sub-tasks, or combinations thereof, receive sub-solutions corresponding to the plurality of sub-tasks from the subset of available nodes in a desired time period, and reassemble the sub-solutions to determine a solution corresponding to the computational task.

Method and system for distributed computation having sub-task processing and sub-solution redistribution

A system for determining instances when a vehicle's indicated speed exceeds a governing speed includes a receiver to receive information from which a vehicle's location envelope, indicated direction of travel, and indicated speed can be derived, and a processor. The processer is configured to ascertain a location envelope in which the vehicle is located, an indicated speed of the vehicle, and a direction of travel of the vehicle at a sample time. It is also configured to select the governing speed for the vehicle at the sample time, which includes ascertaining possible road segments with at least a portion within the location envelope, eliminating road segments with a road segment direction of travel inconsistent with the indicated direction of travel, and selecting as the governing speed a speed associated with a remaining road segment. The processor will then determine if the indicated speed exceeds the governing speed.

System and method for estimating and detecting speed

A comprehensive method and system is provided for managing bulk and non-bulk material and assets using radio frequency and other asset identification devices, distributed mobile computing systems, centralized data storage environments, and client-server based computing. In particular, a process has been designed and to manage shipment items from businesses and third parties to customer designated locations. Components of this system include electronic asset identification devices, a central data repository, a mobile computing environment and associated software applications supporting a client-server system or n-tiered computer system. The mobile computing environment includes software which enables users to physically locate assets, view asset information, and modify such information to reflect current asset status. This information may then be exchanged and synchronized across the n-tiered computer system. Additionally, various personnel associated with the shipping arrangement may have access to the available information over a computer network such as the Internet. In this manner, such personnel can easily determine the status of various shipments and also promptly act on information collected during any status updates, thereby expediting the resolution of any potential exceptions which may arise. The electronic asset identification devices may be further configured to include various types of sensors. The devices may then operate to process and store sensor output information for subsequent relay to users via the mobile computing environment or other means.

System and method for providing asset management and tracking capabilities

An improved RFID tag reader is provided. More specifically, an RFID tag reader is provided that includes a plurality of antenna panels arranged to form a sensing volume in which RFID tags are read. Additionally, the RFID tag reader includes a novel switching mechanism that activates the antenna panels in sequence while minimizing cross coupling between the antenna panels. Furthermore, a novel antenna geometry also reduces antenna cross coupling.

Antenna switching system and method

Methods, systems, and processes are disclosed for determining emissions outputs. One method communicates with a communications network and acquires at least one of energy usage information associated with sources of emissions and emissions information associated with sources of emissions. The energy usage information and the emissions information is acquired as each occurs in real time. The method reports emissions outputs based upon the acquired real time information. Another method communicates with a communications network and acquires at least one of energy usage information associated with sources of emissions and emissions information associated with sources of emissions. This embodiment stores the acquired information as each occurs in real time. Emissions outputs are reported for the industrial process, the emissions outputs based upon the acquired real time information.

Methods and systems for energy and emissions monitoring

Growing community of inventors

Schenectady, NY, United States of America

Joseph James Salvo