General Electric Company

Michael Adam Kinstrey

Charles Burton Theurer

Vrinda Rajiv

Bradford Wayne Miller

Kirk Lars Bruns

Kevin Bernard Kenny

Brion Daryl Sarachan

Christopher Reynolds Hammond

David LaVan Henderson

Alexander Bernard Flavian Rebello

Helena Goldfarb

Stephen John Angelovich

Ralph Andrew Minerva

John Espirito Santo Amaral

Alexandra Jay Schmidt

Mary Kathleen Callahan

Michael Wladyslaw Sobolewski

According to some embodiments, an available algorithm data store may contain information about a pool of available algorithms. An algorithm selection platform coupled to the available algorithm data store may access the information about the pool of available algorithms and compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the real environment. The algorithm selection platform may then automatically determine algorithm execution context information and, based on said comparison and the algorithm execution context information, select at least one of the pool of available algorithms as a potential replacement algorithm. An indication of the selected at least one potential replacement algorithm may then be transmitted (e.g., to be evaluated in a shadow environment by an algorithm evaluation platform).

Potential replacement algorithm selection based on algorithm execution context information

Methods and apparatus disclosed herein autonomously evaluate replacement algorithms. An example system associated with a live environment executing a current algorithm includes at least one memory, instructions, and processor circuitry to execute the instructions to manage execution of the current algorithm in the live environment, the live environment associated with a deployment platform, and manage, based on receipt of at least one potential replacement algorithm, a shadow environment causes execution of the at least one potential replacement algorithm in the shadow environment, the shadow environment instantiated separately from the live environment, the shadow environment utilizes data from the live environment during execution of the at least one potential replacement algorithm in the shadow environment.

Performance manager to autonomously evaluate replacement algorithms

An algorithm data store may contain information about a pool of available algorithms (e.g., to improve operation of an industrial asset). A deployment platform may be implemented in an edge portion at an industrial site associated with a live environment executing a current algorithm. A lifecycle manager of the deployment platform may manage execution of the current algorithm in the live environment creating source data. A performance manager may receive an indication of a selected at least one potential replacement algorithm from the pool of available algorithms and manage execution of the at least one potential replacement algorithm in a shadow environment using the source data. The performance manager may then report performance information associated with the at least one potential replacement algorithm. When appropriate, the potential replacement algorithm may replace the current algorithm.

An algorithm data store may contain information about a pool of available algorithms. An algorithm analysis engine may compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the live environment. Based on the comparison, the algorithm analysis engine may select at least one of the pool of available algorithms as a potential replacement algorithm and transmit an indication of the selected at least one potential replacement algorithm. A deployment platform may include a lifecycle manager that manages execution of the current algorithm in the live environment. The lifecycle manager may also receive the indication of the selected at least one potential replacement algorithm, manage execution of the at least one potential replacement algorithm in a shadow environment, and report performance information associated with the current algorithm and the at least one potential replacement algorithm.

Replacement algorithm selection platform

An Integration Controller integrates broadcast automation systems and thereby provides a single command and control center for monitoring production of the audio and video stream. An event-based schedule, or a &ldquo;playlist,&rdquo; specifies the segments to be played along with the necessary timing and hardware information. Each event in the schedule commands the playback or record of a video segment, generation of a special effect, transfer of a video segment from one device to another or closure of one or more video switches. Events may be launched automatically at a specified time, or manually by an operator. An Integration Controller (IC) communicates with an Event Scheduling System via a Scheduling System Interface. The Scheduling System Interface communicates with the Integration Controller via the IC server. The IC server utilizes various modules to communicate with Device Drivers, a Log Manager and one or more User Interfaces.

System and method for monitoring and controlling the production of audio and video streams

A system and method for managing the currentness of files of a product at the time of release to manufacturing. A data extractor and populator extracts attributes of features in a master model and populates the extracted information in drawing files and NC machining data files. A version control system manages versions of the master model and the files. A release unit releases a version of the files that is current with the latest version of the master model.

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Ballston Spa, NY, United States of America

Michael Adam Kinstrey