{
  "patent_number": "US 12099911",
  "country": "US",
  "title": "Smart System Learns Industrial Machine Behavior",
  "original_title": "Systems and methods for learning data patterns predictive of an outcome",
  "summary": "This patent describes a smart system that uses sensors and machine learning to predict outcomes like production volume or maintenance needs for industrial machines, based on industry-specific data.",
  "what_it_does": "This patent covers a system designed for industrial settings. It uses multiple sensors to gather data about a machine's operation. A central controller then uses a machine learning component to analyze this data. This analysis helps the system learn patterns that predict specific outcomes, such as the machine's reaction rate, how much it produces, or if it needs maintenance. Crucially, the machine learning starts with a pre-built model, informed by industry feedback, and can also learn to select the most useful sensors for its predictions. For example, it could predict when a specific manufacturing machine will require a part replacement based on its vibration and temperature readings.",
  "what_it_does_not_cover": [
    "Systems that do not use machine learning to analyze data patterns.",
    "Systems that do not learn predictive patterns for industrial machine outcomes.",
    "Systems that do not use industry-specific feedback to seed their learning models.",
    "Systems that do not learn a preferred subset of input sensors.",
    "Systems predicting outcomes unrelated to industrial machines, like weather."
  ],
  "filed": "2022-12-07",
  "granted": "2024-09-24",
  "expires": "2042-12-07",
  "status": "active",
  "holder": "Strong Force IoT Portfolio 2016",
  "holder_url": "https://patentbrief.org/company/strong-force-iot-portfolio-2016",
  "inventors": [
    {
      "name": "Gerald William Duffy, JR.",
      "url": "https://patentbrief.org/inventor/gerald-william-duffy-jr"
    },
    {
      "name": "Jeffrey P. McGuckin",
      "url": "https://patentbrief.org/inventor/jeffrey-p-mcguckin"
    },
    {
      "name": "Charles Howard Cella",
      "url": "https://patentbrief.org/inventor/charles-howard-cella"
    },
    {
      "name": "Mehul Desai",
      "url": "https://patentbrief.org/inventor/mehul-desai"
    }
  ],
  "times_cited": 3,
  "tags": [
    "industrial_automation",
    "ai_ml",
    "software",
    "semiconductors",
    "telecommunications"
  ],
  "abstract": "System and methods for learning data patterns predictive of an outcome are described. An example system may include a plurality of input sensors communicatively coupled to a controller; a data collection circuit structured to collect output data from the plurality of input sensors; and a machine learning data analysis circuit structured to receive the output data, learn received output data patterns indicative of an outcome, and learn a preferred input data collection band among a plurality of available input data collection bands. The machine learning data analysis circuit may be structured to learn received output data patterns by being seeded with a model based on industry-specific feedback. The outcome may be at least one of: a reaction rate, a production volume, or a required maintenance.",
  "url": "https://patentbrief.org/patent/us/12099911/systems-and-methods-for-learning-data-patterns-predictive-of-an-outcome",
  "markdown_url": "https://patentbrief.org/patent/us/12099911/systems-and-methods-for-learning-data-patterns-predictive-of-an-outcome/md",
  "google_patents_url": "https://patents.google.com/patent/US12099911",
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}