Patents by Inventor Francisco P. Maturana

Francisco P. Maturana 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: 20210089488
    Abstract: A system may include a data delivery pipeline communicatively coupled to one or more microservices that receive a dataset transmitted through the data delivery pipeline. The system may also include a first microservice that receives a first dataset corresponding to operation technology (OT) data or information technology (IT) data and determines a second dataset based on the first dataset. The system may also include a second microservice that receives the second dataset from the first microservice via the data delivery pipeline, determines an action to perform in an industrial automation component of an industrial automation system based on an analysis of the second dataset, and transmits the action to the industrial automation component via the data delivery pipeline.
    Type: Application
    Filed: December 10, 2020
    Publication date: March 25, 2021
    Inventor: Francisco P. Maturana
  • Patent number: 10866918
    Abstract: A system may include a data delivery pipeline communicatively coupled to one or more microservices that receive a dataset transmitted through the data delivery pipeline. The system may also include a first microservice that receives a first dataset corresponding to operation technology (OT) data or information technology (IT) data and determines a second dataset based on the first dataset. The system may also include a second microservice that receives the second dataset from the first microservice via the data delivery pipeline, determines an action to perform in an industrial automation component of an industrial automation system based on an analysis of the second dataset, and transmits the action to the industrial automation component via the data delivery pipeline.
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: December 15, 2020
    Assignee: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
    Inventor: Francisco P. Maturana
  • Patent number: 10740293
    Abstract: A manifest generation system generates a system model for a cloud computing architecture. The system generates the system model in the form of system, data, and metrics manifests that act as an information concentrator for configuring various aspects of data ingestion and data management. The manifest generation system leverages both information extracted from industrial devices, applications, and programs that make up physical industrial automation systems, as well as user selections identifying which data tags are to be collected, specifying data collection preferences, etc. In this way, manifest data for configuring cloud-level data monitoring and collection is mapped to the automation and control system configurations via information extracted from the system-level topology. This approach can automate and simplify aspects of the cloud-based data collection configuration process.
    Type: Grant
    Filed: October 3, 2019
    Date of Patent: August 11, 2020
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Francisco P. Maturana, Alexander B. Cherpakov
  • Publication number: 20200205324
    Abstract: A pick and place nozzle performance analytics system streams production data from pick and place machines used in electronic assembly to a cloud platform as torrential data streams, and performs analytics on the production data to track, visualize, and predict performance of individual nozzles in terms of rejects or miss-picks. The analytics system generates a performance vector for each nozzle based on the collected production data, the performance vector tracking both the accumulated rejects and the percentage of rejects as respective dimensions of an x-y plane. The system monitors and analyzes the trajectory of this vector in the x-y plane to predict when performance degradation of the nozzle will reach a critical threshold. In response to predicting that nozzle performance degradation will exceed a threshold at a future time, the system can generate and deliver notifications to appropriate client devices.
    Type: Application
    Filed: March 2, 2020
    Publication date: June 25, 2020
    Inventors: Mikica Cvijetinovic, Gregory J. Vance, Francisco P. Maturana
  • Publication number: 20200150628
    Abstract: Described herein are improvements for identifying defects during automated item production. In one example, a method includes identifying a first defect in a first item. The first defect is associated with a stage of production of the first produced item. The method further includes retrieving first parametric data associated with the stage for the first item and identifying one or more defect indicators based on the first parametric data and second parametric data associated with the stage for one or more second items having defects associated with the stage. The method also includes monitoring subsequent parametric data associated with the stage to recognize the one or more defect indicators in the subsequent parametric data.
    Type: Application
    Filed: May 22, 2019
    Publication date: May 14, 2020
    Inventors: Gregory J. Vance, Robert F. Trinnes, Mikica Cvijetinovic, Francisco P. Maturana
  • Publication number: 20200152044
    Abstract: Described herein are improvements for characterizing performance of a component in an automated industrial process. In one example, a method includes, for each period of a plurality of periods, at least until an alert is triggered, updating a count of failed operations attempted by the first component and a percentage of a count of total operations attempted by the first component represented by the count of failed operations. The method further includes decrementing a trigger value when the count of failed operations does not increase for the period and incrementing the trigger value when the count of failed operations increases for the period. Also, the method includes triggering the alert in response to the trigger value satisfying a trigger value criterion and either the count of failed operations satisfying a count criterion or the percentage satisfying a percentage criterion.
    Type: Application
    Filed: August 15, 2019
    Publication date: May 14, 2020
    Inventors: Gregory J. Vance, Mikica Cvijetinovic, Francisco P. Maturana
  • Patent number: 10624251
    Abstract: A pick and place nozzle performance analytics system streams production data from pick and place machines used in electronic assembly to a cloud platform as torrential data streams, and performs analytics on the production data to track, visualize, and predict performance of individual nozzles in terms of rejects or miss-picks. The analytics system generates a performance vector for each nozzle based on the collected production data, the performance vector tracking both the accumulated rejects and the percentage of rejects as respective dimensions of an x-y plane. The system monitors and analyzes the trajectory of this vector in the x-y plane to predict when performance degradation of the nozzle will reach a critical threshold. In response to predicting that nozzle performance degradation will exceed a threshold at a future time, the system can generate and deliver notifications to appropriate client devices.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: April 14, 2020
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Mikica Cvijetinovic, Gregory J. Vance, Francisco P. Maturana
  • Publication number: 20200097430
    Abstract: A system may include a data delivery pipeline communicatively coupled to one or more microservices that receive a dataset transmitted through the data delivery pipeline. The system may also include a first microservice that receives a first dataset corresponding to operation technology (OT) data or information technology (IT) data and determines a second dataset based on the first dataset. The system may also include a second microservice that receives the second dataset from the first microservice via the data delivery pipeline, determines an action to perform in an industrial automation component of an industrial automation system based on an analysis of the second dataset, and transmits the action to the industrial automation component via the data delivery pipeline.
    Type: Application
    Filed: September 20, 2018
    Publication date: March 26, 2020
    Inventor: Francisco P. Maturana
  • Publication number: 20200096976
    Abstract: A system may include a data delivery pipeline communicatively coupled to one or more microservices that receive a dataset transmitted through the data delivery pipeline. The system may also include a first microservice that receives a first dataset corresponding to operation technology (OT) data or information technology (IT) data and determines a second dataset based on the first dataset. The system may also include a second microservice that receives the second dataset from the first microservice via the data delivery pipeline, determines an action to perform in an industrial automation component of an industrial automation system based on an analysis of the second dataset, and transmits the action to the industrial automation component via the data delivery pipeline.
    Type: Application
    Filed: September 20, 2018
    Publication date: March 26, 2020
    Inventor: Francisco P. Maturana
  • Publication number: 20200068759
    Abstract: A pick and place nozzle performance analytics system streams production data from pick and place machines used in electronic assembly to a cloud platform as torrential data streams, and performs analytics on the production data to track, visualize, and predict performance of individual nozzles in terms of rejects or miss-picks. The analytics system generates a performance vector for each nozzle based on the collected production data, the performance vector tracking both the accumulated rejects and the percentage of rejects as respective dimensions of an x-y plane. The system monitors and analyzes the trajectory of this vector in the x-y plane to predict when performance degradation of the nozzle will reach a critical threshold. In response to predicting that nozzle performance degradation will exceed a threshold at a future time, the system can generate and deliver notifications to appropriate client devices.
    Type: Application
    Filed: August 24, 2018
    Publication date: February 27, 2020
    Inventors: Mikica Cvijetinovic, Gregory J. Vance, Francisco P. Maturana
  • Publication number: 20200034337
    Abstract: A manifest generation system generates a system model for a cloud computing architecture. The system generates the system model in the form of system, data, and metrics manifests that act as an information concentrator for configuring various aspects of data ingestion and data management. The manifest generation system leverages both information extracted from industrial devices, applications, and programs that make up physical industrial automation systems, as well as user selections identifying which data tags are to be collected, specifying data collection preferences, etc. In this way, manifest data for configuring cloud-level data monitoring and collection is mapped to the automation and control system configurations via information extracted from the system-level topology. This approach can automate and simplify aspects of the cloud-based data collection configuration process.
    Type: Application
    Filed: October 3, 2019
    Publication date: January 30, 2020
    Inventors: Francisco P. Maturana, Alexander B. Cherpakov
  • Patent number: 10510027
    Abstract: A cloud-based global alarm annunciation broker assist in locating and contacting suitable technical support personnel in response to detected alarm events at a plant facility. The system comprises a cloud-based framework that dynamically matches on-site alarm events to domain experts capable of addressing the alarm events. The framework uses an agent-based architecture to gather industrial data from data sources within the industrial environment, including time-series alarm data. The data is received at a cloud platform, where broker services perform a global search for suitable technical support resources in response to alarm events identified by the collected data. The brokering system can automatically generate service tickets and send notifications to both end users and system managers/supervisors, and can notify application-level experts about events and anomalies that emerge from the on-premise processes being monitored by the cloud-based broker system.
    Type: Grant
    Filed: April 30, 2018
    Date of Patent: December 17, 2019
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Francisco P. Maturana, Juan L. Asenjo, Salvatore T. Conti
  • Patent number: 10482063
    Abstract: A manifest generation system generates a system model for a cloud computing architecture. The system generates the system model in the form of system, data, and metrics manifests that act as an information concentrator for configuring various aspects of data ingestion and data management. The manifest generation system leverages both information extracted from industrial devices, applications, and programs that make up physical industrial automation systems, as well as user selections identifying which data tags are to be collected, specifying data collection preferences, etc. In this way, manifest data for configuring cloud-level data monitoring and collection is mapped to the automation and control system configurations via information extracted from the system-level topology. This approach can automate and simplify aspects of the cloud-based data collection configuration process.
    Type: Grant
    Filed: August 14, 2017
    Date of Patent: November 19, 2019
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Francisco P. Maturana, Alexander B. Cherpakov
  • Patent number: 10416660
    Abstract: A hybrid data collection and analysis infrastructure combines edge-level and cloud-level computing to perform high-level monitoring and control of industrial systems and processes. Edge devices located on-premise at one or more plant facilities can collect data from multiple industrial devices on the plant floor and perform local edge-level analytics on the collected data. In addition, the edge devices maintain a communication channel to a cloud platform executing cloud-level data collection and analytic services. As necessary, the edge devices can pass selected sets of data to the cloud platform, where the cloud-level analytic services perform higher level analytics on the industrial data. The hybrid architecture operates in a bi-directional manner, allowing the cloud-level and edge-level analytics to send control instructions to industrial devices based on results of the edge-level and cloud-level analytics.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: September 17, 2019
    Assignee: Rockwell Automation Technologies, Inc.
    Inventor: Francisco P. Maturana
  • Patent number: 10334048
    Abstract: A cloud agent facilitates collection of industrial data from one or more data sources on the plant floor and migration of the collected data to a cloud platform for storage and processing. Collection services associated with the cloud agent perform on-premise data collection of historical, live, and/or alarm data directly from industrial devices networked to the agent or from intermediate data concentrators that gather the data from the devices. Queue processing services executed by the cloud agent package the data into a data packet comprising header information that identifies a customer associated with the industrial enterprise, processing priority information, and other information that informs data processing services on the cloud platform how to process and/or direct the incoming data. The cloud agent then establishes a communication channel to the cloud platform and sends the data via the channel.
    Type: Grant
    Filed: October 27, 2017
    Date of Patent: June 25, 2019
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Francisco P. Maturana, Juan L. Asenjo
  • Publication number: 20190064787
    Abstract: A hybrid data collection and analysis infrastructure combines edge-level and cloud-level computing to perform high-level monitoring and control of industrial systems and processes. Edge devices located on-premise at one or more plant facilities can collect data from multiple industrial devices on the plant floor and perform local edge-level analytics on the collected data. In addition, the edge devices maintain a communication channel to a cloud platform executing cloud-level data collection and analytic services. As necessary, the edge devices can pass selected sets of data to the cloud platform, where the cloud-level analytic services perform higher level analytics on the industrial data. The hybrid architecture operates in a bi-directional manner, allowing the cloud-level and edge-level analytics to send control instructions to industrial devices based on results of the edge-level and cloud-level analytics.
    Type: Application
    Filed: August 31, 2017
    Publication date: February 28, 2019
    Inventor: Francisco P. Maturana
  • Publication number: 20190050414
    Abstract: A manifest generation system generates a system model for a cloud computing architecture. The system generates the system model in the form of system, data, and metrics manifests that act as an information concentrator for configuring various aspects of data ingestion and data management. The manifest generation system leverages both information extracted from industrial devices, applications, and programs that make up physical industrial automation systems, as well as user selections identifying which data tags are to be collected, specifying data collection preferences, etc. In this way, manifest data for configuring cloud-level data monitoring and collection is mapped to the automation and control system configurations via information extracted from the system-level topology. This approach can automate and simplify aspects of the cloud-based data collection configuration process.
    Type: Application
    Filed: August 14, 2017
    Publication date: February 14, 2019
    Inventors: Francisco P. Maturana, Alexander B. Cherpakov
  • Publication number: 20190018394
    Abstract: A scalable industrial asset management system dynamically negotiates allocation of mobile industrial assets to industrial operation sites. The asset management system tracks and models the capabilities and availabilities of a pool of mobile industrial assets (e.g., truck-mounted assets or other such assets). Based on a defined demand of a scheduled industrial operation requiring mobile industrial assets (e.g., a fracking operation, a mining operation, etc.) the system selects a subset of the mobile industrial assets that are both available during the scheduled operation and are collectively capable of satisfying the demands of the industrial operation. Moreover, based on the asset models for the subset of mobile industrial assets, the system configures an on-premise cloud agent device to collect telemetry data from the mobile assets during the operation and to migrate the collected data to a cloud-based collection and analytics system.
    Type: Application
    Filed: July 11, 2017
    Publication date: January 17, 2019
    Inventors: Bijan Sayyarrodsari, Francisco P. Maturana
  • Patent number: 10135705
    Abstract: A cloud-based analytics system streams industrial data from customer facilities to a cloud platform as torrential data streams, and performs analytics on the data contained in the data streams based on a selected set of rules. The rules can be designed to diagnose current or potential issues, to monitor for alarm conditions, or to perform other types of analytics. One or more data pipelines migrate data from plant facilities to a data lake residing on the cloud platform. Data streams can be segregated according to customer, and can further be segregated according to plant facility, production area, or any other suitable classification. Each data stream has an associated manifest that identifies the set of rules to be used to process data in each data stream, allowing selected rules to be applied to each data stream in an ad hoc manner.
    Type: Grant
    Filed: June 30, 2016
    Date of Patent: November 20, 2018
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Juan L. Asenjo, Francisco P. Maturana
  • Publication number: 20180300665
    Abstract: A cloud-based global alarm annunciation broker assist in locating and contacting suitable technical support personnel in response to detected alarm events at a plant facility. The system comprises a cloud-based framework that dynamically matches on-site alarm events to domain experts capable of addressing the alarm events. The framework uses an agent-based architecture to gather industrial data from data sources within the industrial environment, including time-series alarm data. The data is received at a cloud platform, where broker services perform a global search for suitable technical support resources in response to alarm events identified by the collected data. The brokering system can automatically generate service tickets and send notifications to both end users and system managers/supervisors, and can notify application-level experts about events and anomalies that emerge from the on-premise processes being monitored by the cloud-based broker system.
    Type: Application
    Filed: April 30, 2018
    Publication date: October 18, 2018
    Inventors: Francisco P. Maturana, Juan L. Asenjo, Salvatore T. Conti