Nec corporation (20240127115). CONTAINER LOADING MANAGEMENT SYSTEM AND CONTAINER LOADING MANAGEMENT METHOD simplified abstract
Contents
- 1 CONTAINER LOADING MANAGEMENT SYSTEM AND CONTAINER LOADING MANAGEMENT METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONTAINER LOADING MANAGEMENT SYSTEM AND CONTAINER LOADING MANAGEMENT METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CONTAINER LOADING MANAGEMENT SYSTEM AND CONTAINER LOADING MANAGEMENT METHOD
Organization Name
Inventor(s)
CONTAINER LOADING MANAGEMENT SYSTEM AND CONTAINER LOADING MANAGEMENT METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127115 titled 'CONTAINER LOADING MANAGEMENT SYSTEM AND CONTAINER LOADING MANAGEMENT METHOD
Simplified Explanation
The loading container information input means accepts input of information on the target container. The inquiring means transmits current loading state and information on the target container to the container loading planning device to inquire about the loading position of the target container. The evaluation means outputs an evaluation value for loading the target container at the received loading position. The output means outputs data including the loading state and information of the target container, the loading position of the target container, and the evaluation value as training data. The learning means learns the model by machine learning using the output training data. The loading position determination means determines the loading position of the target container using the learned model.
- Loading container information input means accepts information on the target container.
- Inquiring means transmits current loading state and information on the target container to inquire about the loading position.
- Evaluation means outputs an evaluation value for loading the target container at the received loading position.
- Output means outputs data including loading state, information of the target container, loading position, and evaluation value as training data.
- Learning means learns the model by machine learning using the output training data.
- Loading position determination means determines the loading position of the target container using the learned model.
Potential Applications
The technology can be applied in automated container loading systems, logistics operations, and warehouse management.
Problems Solved
Efficient loading of containers, optimizing space, and reducing loading time.
Benefits
Improved loading efficiency, reduced errors, and increased productivity in container handling operations.
Potential Commercial Applications
Automated container loading systems for shipping companies, logistics companies, and warehouses.
Possible Prior Art
Similar technologies may exist in the field of automated warehouse management systems and container handling equipment.
Unanswered Questions
How does the technology handle different types of containers and cargo sizes?
The abstract does not specify how the system adapts to various container types and sizes. This could be crucial for its practical application in diverse logistics scenarios.
What kind of machine learning algorithms are used for model training?
The abstract mentions machine learning for model training but does not specify the exact algorithms used. Understanding this aspect could provide insights into the system's learning capabilities and efficiency.
Original Abstract Submitted
the loading container information input means accepts input of information on the target container. the inquiring means transmits current loading state and information on the target container to the container loading planning device to inquire about the loading position of the target container. the evaluation means outputs an evaluation value for loading the target container at the received loading position. the output means outputs data including the loading state and information of the target container, the loading position of the target container, and the evaluation value as training data. the learning means learns the model by machine learning using the output training data. the loading position determination means determines the loading position of the target container using the learned model.
