Work management device, work management method, and work-in-progress estimation model
AssigneeKubota Corporation
InventorKazuma Harada
Life of this patent
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Abstract
A task in operation is accurately inferred. A task management device (3) includes: a data generating section (336) that generates time series data of coordinates; a linear data extracting section (337) that extracts linear data from the time series data of the coordinates; and a task inferring section (339) that infers, on the basis of the linear data and a target object included in a captured image, a task being carried out at a time point at which the captured image is obtained.
Claims8
A task management device comprising at least one processor for executing a function of each section of the task management device, the at least one processor including:
- an image obtaining section configured to obtain, over time, captured images each including a task target region in waterworks construction;
- an image extracting section configured to extract, from each of the captured images that have been obtained over time, an image of at least one target object which is involved in the waterworks construction;
- a data generating section configured to, for each image of the at least one object that is inferred to be identical in each of the captured images, by extracting over time coordinates in a region containing the each image, generate time series data of the coordinates;
- a linear data extracting section configured to extract, from the time series data of the coordinates, linear data that is a part in which a value is continuously and regularly changed;
- a task inferring section configured to infer, on the basis of the linear data and the image of the at least one target object, the image being included in each of the captured images, a task being carried out at a time point at which each of the captured images is obtained;
- and
- an index outputting section configured to output at least one index that is inferred to appear in the task at the time point at which each of the captured images is obtained, the at least one index being inferred by inputting each of the captured images to an index inference model that is among a plurality of indices, including the at least one target object, for evaluating a task state in the waterworks construction and that is constructed, by machine learning, so as to infer at least one index that appears in a task at a specified time point,
- the task inferring section inferring, on the basis of the linear data and an output result from the index outputting section, the task being carried out at the time point at which each of the captured images is obtained, and
- the at least one processor further including a weight processing section configured to, in a case where the linear data extracting section extracts the linear data, in the at least one index that has been output as the at least one target object from which the time series data of the coordinates from which time series data the linear data has been extracted is generated, assign more weights to a time period during which movement of the at least one target object occurs and in which the linear data has been extracted than to another time period different from the time period, assuming that movement occurs in the at least one target object and determine the task is being carried out.
A task management method comprising:
- an image obtaining step of obtaining, over time, captured images each including a task target region in waterworks construction;
- an image extracting step of extracting, from each of the captured images that have been obtained over time, an image of at least one target object which is involved in the waterworks construction;
- a data generating step of, for each image of the at least one object that is inferred to be identical in each of the captured images, by extracting over time coordinates in a region containing the each image, generating time series data of the coordinates;
- a linear data extracting step of extracting, from the time series data of the coordinates, linear data that is a part in which a value is continuously and regularly changed;
- a task inferring step of inferring, on the basis of the linear data and the at least one target object from which the time series data of the coordinates from which time series data the linear data has been extracted is generated, a task being carried out at a time point at which each of the captured images is obtained;
- and
- an index outputting step of outputting at least one index that is inferred to appear in the task at the time point at which each of the captured images is obtained, the at least one index being inferred by inputting each of the captured images to an index inference model that is among a plurality of indices, including the at least one target object, for evaluating a task state in the waterworks construction and that is constructed, by machine learning, so as to infer at least one index that appears in a task at a specified time point, wherein
- in the task inferring step, the task being carried out at the time point at which each of the captured images is obtained is inferred on the basis of the linear data and an output result in the index outputting step,
- the task management method further comprising a weighting processing step of, in a case where the linear data is extracted in the linear data extracting step, in the at least one index that has been output as the at least one target object from which the time series data of the coordinates from which time series data the linear data has been extracted is generated, assigning more weights to a time period during which movement of the at least one target object occurs and in which the linear data has been extracted than to another time period different from the time period, assuming that movement occurs in the at least one target object and determine the task is being carried out.
Dependencies are inferred from the claim text.