Worker management device
AssigneeFanuc Corporation
InventorWataru SHIRAISHI
Life of this patent
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Abstract
A machine learning device provided in a worker management device observes, as state variables representing a current state of an environment, worker external state data indicating an external state of a worker and manufacturing machine state data indicating a state of a manufacturing machine, and acquires, as label data, worker status data indicating a status of the worker. The machine learning device then learns the worker external state data and the manufacturing machine state data in association with the worker status data by performing supervised learning using the observed state variables and the acquired label data.
Claims10
A worker management device that manages a worker performing work on a manufacturing machine in a factory, the device comprising a machine learning device that learns an estimate of a status of the worker in relation to an external state of the worker and a state of the manufacturing machine,
- the machine learning device including:
- a state observation unit that observes, as state variables representing a current state of an environment, worker external state data indicating the external state of the worker, and manufacturing machine state data indicating the state of the manufacturing machine on the basis of image data acquired by photographing a work situation of the worker, and data acquired from the manufacturing machine, respectively;
- and
- a learning unit that learns the status of the worker by machine learning using at least the state variables.
A worker management device that manages a worker performing work on a manufacturing machine in a factory, the device comprising a machine learning device that has learned an estimate of a status of the worker in relation to an external state of the worker and a state of the manufacturing machine,
- the machine learning device including:
- a state observation unit that observes, as state variables representing a current state of an environment, worker external state data indicating the external state of the worker, and manufacturing machine state data indicating the state of the manufacturing machine on the basis of image data acquired by photographing a work situation of the worker, and data acquired from the manufacturing machine, respectively;
- a learning unit that has learned, through machine learning, the status of the worker based on the external state of the worker and the state of the manufacturing machine in association with the status of the worker;
- and
- an estimation result output unit that outputs the status of the worker on the basis of the state variables observed by the state observation unit and a learning result acquired by the learning unit.
A machine learning device that learns an estimate of a status of a worker performing work on a manufacturing machine in a factory in relation to an external state of the worker and a state of the manufacturing machine, the device comprising:
- a state observation unit that observes, as state variables representing a current state of an environment, worker external state data indicating the external state of the worker, and manufacturing machine state data indicating the state of the manufacturing machine on the basis of image data acquired by photographing a work situation of the worker, and data acquired from the manufacturing machine, respectively;
- and
- a learning unit that learns the status of the worker by machine learning using at least the state variables.
A machine learning device that has learned an estimate of a status of a worker performing work on a manufacturing machine in a factory in relation to an external state of the worker and a state of the manufacturing machine, the device comprising:
- a state observation unit that observes, as state variables representing a current state of an environment, worker external state data indicating the external state of the worker, and manufacturing machine state data indicating the state of the manufacturing machine on the basis of image data acquired by photographing a work situation of the worker, and data acquired from the manufacturing machine, respectively;
- a learning unit that has learned, through machine learning, the status of the worker based on the external state of the worker and the state of the manufacturing machine in association with the status of the worker;
- and
- an estimation result output unit that outputs the status of the worker on the basis of the state variables observed by the state observation unit and a learning result acquired by the learning unit.
Dependencies are inferred from the claim text.