Patents by Inventor Mohit Singhai

Mohit Singhai has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20180052835
    Abstract: An industrial search and diagnosis system discovers available data items across heterogeneous data platforms that make up an industrial enterprise and indexes the data items in a unified searchable namespace. The system also indexes non-textual or multimedia input, including image data, video data, and audio data. This multimedia data can be indexed by the system in association with the relevant industrial systems (e.g., machines, automation systems, devices, production lines, etc.) so that the system can provide the multimedia data to the user when the relevant industrial systems are searched or invoked. The system also accepts and processes multimedia data from as search criteria or for diagnostic analysis. In an example analysis, users can submit images, audio, or video of an industrial machine or automation system, and the diagnosis system can identify an operational abnormality based on comparative analysis performed on the multimedia information.
    Type: Application
    Filed: August 18, 2016
    Publication date: February 22, 2018
    Inventors: Sharon M. Billi-Duran, Christopher W. Como, Edward A. Gray, Kyle K. Reissner, Jonathan D. Walter, Mohit Singhai, Douglas J. Reichard, Scott N. Sandler, Ronald E. Bliss, Michael J. Pantaleano, Ryan Cahalane, Jessica L. Korpela, Bruce T. McCleave, JR.
  • Publication number: 20170351226
    Abstract: A cloud-based diagnosis and maintenance system facilitates discovery and indexing of plant-wide data residing on various data platforms across multiple industrial facilities. The system includes an indexing system that automatically inventories industrial devices and other data sources located throughout the facilities, and identifies available data items on each data source. The indexing system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The diagnosis and maintenance system also includes analysis tools that facilitate cross-facility analysis of the data model, allowing performance metrics to be compared across similar automation systems at different facilities. The system can also generate recommendations for improving performance metrics based on results of the comparative analysis.
    Type: Application
    Filed: June 1, 2016
    Publication date: December 7, 2017
    Inventors: Ronald E. Bliss, Sharon M. Billi, Christopher W. Como, Edward A. Gray, Kyle K. Reissner, Jonathan D. Walter, Mohit Singhai, Douglas J. Reichard, Scott N. Sandler, Michael J. Pantaleano, Ryan Cahalane, Jessica Korpela, Bruce T. McCleave, JR.
  • Publication number: 20170300753
    Abstract: The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.
    Type: Application
    Filed: April 19, 2016
    Publication date: October 19, 2017
    Inventors: Sharon M. Billi, Christopher Wayne Como, Edward A. Gray, Kyle Reissner, Jonathan D. Walter, Mohit Singhai, Douglas J. Reichard, Scott N. Sandler, Ronald E. Bliss, Michael John Pantaleano, Ryan Cahalane, Jessica L. Korpela, Bruce T. McCleave
  • Publication number: 20170195265
    Abstract: An automated industrial notification platform creates a link between a given industrial asset and one or more people or support entities qualified to provide support for the asset. An industrial device or machine stores electronic expert tag information that records and catalogues one or more support people or entities to be notified in response to detection of various types of performance or maintenance issues. The tag can include the experts' identities, contact information, roles relative to the industrial asset, event priorities, and other relevant information. Since the tag is stored in a memory location of the industrial asset, the tag travels with the asset so that experts are globally associated with the asset regardless of the asset's location. Notification components integrated with the industrial asset detect conditions that may require expert assistance, and send an automated notification to one or more experts identified by the tag information.
    Type: Application
    Filed: January 4, 2016
    Publication date: July 6, 2017
    Inventors: Sharon M. Billi, Christopher W. Como, Edward A. Gray, Kyle K. Reissner, Jonathan D. Walter, Mohit Singhai, Douglas J. Reichard, Scott N. Sandler, Ronald E. Bliss, Michael J. Pantaleano, Ryan Cahalane, Jessica Korpela, Bruce T. McCleave
  • Publication number: 20170123397
    Abstract: A multi-platform industrial search and notification system performs automated and manually initiate information searches across multiple disparate industrial data platforms. The search system is built on a search platform that unifies plant-wide control system information from multiple diverse sources under a common namespace, or federated data model. The system can monitor this federated data model for conditions that may warrant attention by plant personnel, and deliver proactive notifications and operational data to selected users via their personal devices. The system can customize presentation of this data based on the user's role, location, and/or other contextual information. To this end, the system can automatically generate user-specific and context-specific dashboards, widgets, or other visualizations, and render these custom visualizations to the user at appropriate times.
    Type: Application
    Filed: October 30, 2015
    Publication date: May 4, 2017
    Inventors: Sharon M. Billi, Christopher W. Como, Edward A. Gray, Kyle K. Reissner, Jonathan D. Walter, Mohit Singhai, Douglas J. Reichard, Scott N. Sandler, Ronald E. Bliss, Michael J. Pantaleano, Ryan Cahalane, Jessica Korpela, Bruce T. McCleave
  • Publication number: 20170108851
    Abstract: Techniques to facilitate pinning information in an industrial automation environment are disclosed herein. In at least one implementation, a pinboard associated with an asset of the industrial automation environment is displayed on a display system of a computing system, wherein the pinboard includes a plurality of entries comprising content associated with the asset. A user request is received to add a new entry to the pinboard comprising additional content associated with the asset. The user request is transferred to an application server, wherein the application server processes the user request to add the new entry to the pinboard.
    Type: Application
    Filed: October 14, 2015
    Publication date: April 20, 2017
    Inventors: Marek Krokiewicz, Ashish Anand, Matthew R. Ericsson, Douglas Reichard, Michael J. Anthony, Mohit Singhai, Ryan Cahalane, Kyle Reissner
  • Publication number: 20170103239
    Abstract: Techniques to facilitate identification of industrial equipment using micro-location services in an industrial automation environment are disclosed herein. In at least one implementation, an identification signal is detected transmitted from a wireless transceiver associated with an asset of the industrial automation environment. The identification signal is processed to determine an identity of the asset. Information associated with the asset is retrieved based on the identity of the asset. The information associated with the asset is displayed on a display system of a computing system.
    Type: Application
    Filed: October 8, 2015
    Publication date: April 13, 2017
    Inventors: Daniel S. DeYoung, Matthew R. Ericsson, Douglas Reichard, Michael Ohlsen, Mohit Singhai, Kenneth S. Plache
  • Publication number: 20160292895
    Abstract: A multi-platform industrial search system facilitates indexing and searching of plant-wide data residing on multiple different data platforms. The industrial search system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The search system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The search system can present search results as a layered map presentation that graphically depicts the search results on multiple view-specific layers that can be viewed individually or combined into composite layered presentations.
    Type: Application
    Filed: March 31, 2015
    Publication date: October 6, 2016
    Inventors: Sharon M. BILLI, Christopher W. COMO, Edward A. GRAY, Kyle K. REISSNER, Mohit SINGHAI, Douglas J. REICHARD, Scott N. SANDLER, Ronald E. BLISS, Michael J. PANTALEANO, Ryan CAHALANE, Jessica KORPELA, Bruce T. MCCLEAVE
  • Publication number: 20160132538
    Abstract: An industrial data indexing system facilitates discovery and indexing of plant-wide data residing on multiple different data platforms. The indexing system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The indexing system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The indexing system also discovers and records interdependencies between data items, which can be used to improve relevancy of search results returned to the user.
    Type: Application
    Filed: November 7, 2014
    Publication date: May 12, 2016
    Inventors: Ronald E. Bliss, Douglas J. Reichard, Scott N. Sandler, Michael J. Pantaleano, Ryan Cahalane, Mohit Singhai, Bruce T. McCleave