{
  "patent_number": "US 20230195095",
  "country": "US",
  "title": "Industrial Equipment Data Organized into Smart Knowledge Graphs",
  "original_title": "Industrial knowledge graph and contextualization",
  "summary": "Honeywell's patent describes a system that collects data from industrial equipment, makes sense of it using rules, and organizes it into a smart graph for better control and actions.",
  "what_it_does": "This patent details a system for industrial settings that creates a 'knowledge graph' about equipment. It starts by receiving a request that includes a description of the equipment (an 'asset descriptor'). Then, it gathers operational data from various sources related to that equipment. The core innovation is 'contextualizing' this raw data using specific configuration details and rules. This means making the data understandable and relevant, like translating different machine languages into one common tongue. The processed data is then organized into a knowledge graph structure. Finally, the system can perform actions based on this organized knowledge, like adjusting equipment settings or flagging potential issues. For example, it could gather vibration data from a pump, combine it with its maintenance history and operating parameters, and then identify that a specific type of unusual vibration pattern indicates an imminent bearing failure, triggering an alert.",
  "what_it_does_not_cover": [
    "Does not cover systems that collect data without contextualizing it using specific rules and configuration data.",
    "Does not cover knowledge graphs that are not specifically configured for the described industrial assets.",
    "Does not cover systems that do not perform actions based on the generated knowledge graph data.",
    "Does not cover the collection of data from non-operational technology sources.",
    "Does not cover knowledge graphs that are not organized within a defined data structure."
  ],
  "filed": "2022-12-12",
  "granted": null,
  "expires": "2042-12-12",
  "status": "active",
  "holder": "Honeywell International",
  "holder_url": "https://patentbrief.org/company/honeywell-international",
  "inventors": [
    {
      "name": "Gobinath Pandurangan",
      "url": "https://patentbrief.org/inventor/gobinath-pandurangan"
    },
    {
      "name": "Manimala KUMAR",
      "url": "https://patentbrief.org/inventor/manimala-kumar"
    },
    {
      "name": "Zameer Gulam PATEL",
      "url": "https://patentbrief.org/inventor/zameer-gulam-patel"
    },
    {
      "name": "Matthew Gregory Taylor BURD",
      "url": "https://patentbrief.org/inventor/matthew-gregory-taylor-burd"
    }
  ],
  "times_cited": 1,
  "tags": [
    "industrial_automation",
    "software",
    "ai_ml",
    "semiconductors"
  ],
  "abstract": "Various embodiments described herein relate to providing and/or employing a knowledge graph related to one or more assets. In this regard, a request to generate knowledge graph data related to one or more assets is received. The request includes an asset descriptor describing the one or more assets. In response to the request, aggregated operational technology data is obtained based on the asset descriptor and from one or more data sources associated with the one or more assets. Furthermore, the aggregated operational technology data is contextualized, based on configuration data for the one or assets and a set of contextualization rules for the one or more data sources, to generate the knowledge graph data. The knowledge graph data is also allocated within a knowledge graph data structure configured for the one or more assets.",
  "url": "https://patentbrief.org/patent/us/20230195095/industrial-knowledge-graph-and-contextualization",
  "markdown_url": "https://patentbrief.org/patent/us/20230195095/industrial-knowledge-graph-and-contextualization/md",
  "google_patents_url": "https://patents.google.com/patent/US20230195095",
  "relatedPatents": []
}