18536886. WORK TIME PREDICTION DEVICE, SERVER DEVICE, TERMINAL DEVICE, WORK TIME PREDICTION METHOD, AND STORAGE MEDIUM simplified abstract (HONDA MOTOR CO., LTD.)

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WORK TIME PREDICTION DEVICE, SERVER DEVICE, TERMINAL DEVICE, WORK TIME PREDICTION METHOD, AND STORAGE MEDIUM

Organization Name

HONDA MOTOR CO., LTD.

Inventor(s)

Megumi Hirakawa of Tokyo (JP)

Satoshi Murata of Tokyo (JP)

Sota Sakaguchi of Tokyo (JP)

Shohei Namiki of Tokyo (JP)

Ryota Hisada of Tokyo (JP)

Ryuichi Kimata of Tokyo (JP)

WORK TIME PREDICTION DEVICE, SERVER DEVICE, TERMINAL DEVICE, WORK TIME PREDICTION METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18536886 titled 'WORK TIME PREDICTION DEVICE, SERVER DEVICE, TERMINAL DEVICE, WORK TIME PREDICTION METHOD, AND STORAGE MEDIUM

Simplified Explanation

The patent application abstract describes a system that acquires area information about a work area and uses this information, along with historical data, to predict work time in the current work area.

  • The acquisition unit gathers area information about the current work area.
  • The prediction unit uses the acquired area information and historical data to predict work time in the current work area.

Potential Applications

This technology could be applied in various industries where work time prediction is crucial, such as construction, manufacturing, and logistics.

Problems Solved

This technology helps in optimizing work schedules, improving efficiency, and better resource allocation based on predicted work times in specific areas.

Benefits

The system can help companies save time and resources by accurately predicting work times in different areas, leading to better planning and increased productivity.

Potential Commercial Applications

"Work Time Prediction System for Efficient Resource Allocation in Construction Industry"

Possible Prior Art

One possible prior art could be existing systems that use historical data for predictive analytics in different fields, such as predictive maintenance systems in manufacturing.

Unanswered Questions

How accurate are the work time predictions made by this system?

The accuracy of the predictions made by this system is not explicitly mentioned in the abstract. It would be important to know the level of accuracy to assess the reliability of the predictions.

What is the scalability of this system for large work areas or multiple work areas?

The abstract does not provide information on the scalability of the system. Understanding how well it can handle large work areas or multiple work areas simultaneously would be crucial for its practical implementation in real-world scenarios.


Original Abstract Submitted

The acquisition unit acquires area information regarding a current work area. The prediction unit predicts a work time in the current work area on the basis of the area information acquired by the acquisition unit and history information in which area information regarding a past work area and time information regarding a work time in the past work area are associated with each other.