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18147023. AUTOMATIC ISSUE IDENTIFICATION AND PREVENTION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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AUTOMATIC ISSUE IDENTIFICATION AND PREVENTION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Sarbajit K. Rakshit of KOLKATA (IN)

Akash U. Dhoot of Pune (IN)

Shailendra Moyal of Pune (IN)

AUTOMATIC ISSUE IDENTIFICATION AND PREVENTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18147023 titled 'AUTOMATIC ISSUE IDENTIFICATION AND PREVENTION

Simplified Explanation

A processor analyzes object data to identify potential issues, then deploys smart devices to capture issue data.

Key Features and Innovation

  • Processor generates simulations based on object data.
  • Processor analyzes simulations to identify potential issues.
  • Smart devices are deployed to capture issue data.

Potential Applications

This technology could be used in various industries such as manufacturing, healthcare, and transportation to proactively identify and address issues with objects.

Problems Solved

This technology helps in early detection and resolution of potential issues associated with objects in an environment.

Benefits

  • Improved efficiency in identifying and resolving issues.
  • Proactive maintenance of objects.
  • Enhanced overall performance and reliability.

Commercial Applications

Title: Proactive Issue Detection Technology This technology can be utilized in industries where early issue detection is critical, such as manufacturing plants, hospitals, and logistics companies. It can help reduce downtime, improve safety, and optimize operations.

Questions about Proactive Issue Detection Technology

How does this technology improve efficiency in issue detection?

This technology uses simulations and smart devices to proactively identify and capture issue data, allowing for quicker resolution of potential problems.

What are the potential applications of this technology beyond the ones mentioned?

This technology can also be applied in sectors such as energy, construction, and agriculture to enhance maintenance practices and prevent costly downtime.


Original Abstract Submitted

A processor may receive object data associated with an object in an environment. The processor may generate one or more simulations associated with the object using the object data. The processor may analyze the one or more simulations to identify one or more potential issues associated with the object. The processor may deploy the one or more smart devices to the object to capture issue data associated the one or more potential issues.

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