International business machines corporation (20240134340). Identifying Machine-Based Critical Zones simplified abstract

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Identifying Machine-Based Critical Zones

Organization Name

international business machines corporation

Inventor(s)

Shailendra Moyal of Pune (IN)

Sarbajit K. Rakshit of Kolkata (IN)

Partho Ghosh of Kolkata (IN)

Identifying Machine-Based Critical Zones - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240134340 titled 'Identifying Machine-Based Critical Zones

Simplified Explanation

The patent application describes a method for identifying critical zones of machines by performing a digital twin simulation and analyzing historical incident records. The method aims to determine areas surrounding the machine that will be impacted by different types of incidents, based on the task performed by the machine, its operating context, aggregate energy, and the affected area in the industrial environment.

  • Task performed by the machine
  • Operating context of the machine
  • Aggregate energy of the machine
  • Area in the industrial machine environment affected by propagation of released energy

Potential Applications

This technology could be applied in various industries such as manufacturing, energy, and transportation to enhance machine safety and prevent potential incidents.

Problems Solved

This technology helps in identifying critical zones of machines, which can improve safety measures, prevent accidents, and optimize machine performance.

Benefits

- Enhanced machine safety - Accident prevention - Improved machine performance

Potential Commercial Applications

"Machine Critical Zone Identification Technology for Enhanced Safety and Performance"

Possible Prior Art

There may be prior art related to machine safety systems, incident analysis software, and digital twin simulations in the field of industrial automation.

Unanswered Questions

How does this technology compare to existing machine safety systems?

This article does not provide a direct comparison to existing machine safety systems and their effectiveness in identifying critical zones.

What are the specific industries that could benefit the most from this technology?

The article does not specify the industries that could benefit the most from this technology and the potential impact on their operations.


Original Abstract Submitted

identifying critical zones of machines is provided. a digital twin simulation of a machine is performed. an analysis of a set of historical incident records corresponding to the machine is performed to determine areas surrounding the machine that will be impacted by propagation of different types of incidents corresponding to the machine. a task performed by the machine, an operating context of the machine, an aggregate energy of the machine, and an area in the industrial machine environment affected by propagation of released energy from the machine are identified based on the digital twin simulation and the analysis of the set of historical incident records. a set of critical zones corresponding to the machine is identified based on the task performed by the machine, the operating context of the machine, the aggregate energy of the machine, and the area in the industrial machine environment affected by propagation of released energy.