Abstract: A machining result processing device includes processing circuitry configured to collect machining result information; calculate a provisional evaluation value for machining performed; estimate an estimated convergence value when the provisional evaluation value has not converged; determine whether to terminate the machining before the provisional evaluation value converges when the provisional evaluation value has not converged; determine the estimated convergence value as an evaluation value when the machining is terminated and determine the convergence value of the provisional evaluation value as an evaluation value after the provisional evaluation value has converged when the machining is not terminated; and determine an optimal machining condition when the search is terminated and generates a machining condition to be tried next when the search is not terminated, in which until it is determined to end the search, each of aforementioned processes described above is repeatedly performed.

Abstract: Included are: a machining data acquiring unit to acquire machining data including data related to time-series machining conditions to perform machining for a plurality of steps and data related to a machining state for the plurality of steps on a basis of the machining conditions; an analysis unit to calculate an importance with respect to machining data; an extraction unit to extract transfer learning data for performing transfer learning of a first machine learning model on a basis of the importance; and a learning unit to perform the transfer learning of the first machine learning model by using the transfer learning data, and generate a second machine learning model that receives, as an input, data related to the machining conditions in time series for the plurality of steps and outputs data related to a machining state after execution for the plurality of steps.

Abstract: A geographic object recognition unit (120) recognizes, using image data (192) obtained by photographing in a measurement region where a geographic object exists, a type of the geographic object from an image that the image data (192) represents. A position specification unit (130) specifies, using three-dimensional point cloud data (191) indicating a three-dimensional coordinate value of each of a plurality of points in the measurement region, a position of the geographic object.

Abstract: A machining condition searching method includes: generating a machining condition to be set in a machining device; collecting a machining state; collecting the machining result performed under the machining condition; calculating an evaluation value of the machining on the basis of the machining result; constructing an evaluation value prediction model predicting, on the basis of the machining condition, the machining state, and the evaluation value, an evaluation value corresponding to the machining condition that has not been tried; and constructing the evaluation value prediction model on the basis of a change degree in the relationship between the machining condition and the evaluation value, and performs weighting based on the machining state on the evaluation value prediction model. The machining condition to be tried next is generated using a predictive value of the evaluation value. Each of the above processes is repeatedly performed until it is determined to end a search.

Abstract: A laser machining system according to the present invention includes a laser machining tool, a detection unit that detects a machining state of the laser machining tool, a test machining condition generation unit that generates a machining condition including at least one control parameter settable to the laser machining tool, a machining determination unit that determines quality of machining based on the machining state detected by the detection unit, a candidate condition generation unit that generates a candidate condition, which is a candidate for a machining condition to be set to the laser machining tool, based on a determination result from the machining determination unit and on a machining condition corresponding to the determination result, and a tolerance check unit that causes check machining to be performed for checking a machining tolerance using the candidate condition, where the machining tolerance indicates robustness of the candidate condition.

Abstract: A machining condition search device according to the disclosure includes a machining condition generation unit, a practical machining command unit, a machining evaluation unit, a prediction unit, an optimum machining condition calculation unit. The machining condition generation unit generates a machining condition defined by one or more control parameters settable on a machining apparatus. The practical machining command unit causes the machining apparatus to perform machining based on a generated machining condition. The machining evaluation unit generates an evaluation value of performed machining, on the basis of information indicating a machining result of the performed machining. The prediction unit predicts an evaluation value corresponding to a machining condition under which machining is not performed, on the basis of the evaluation value and the machining condition corresponding to the evaluation value.

Abstract: A positioning control device includes a position-command generation unit to generate a position command by which a shape of an acceleration in an accelerating section and a decelerating section is determined on the basis of a position command parameter, a drive control unit to drive a motor such that a detected position value of the motor or a control target follows the position command, an evaluation unit to calculate an evaluation value regarding positioning performance on the basis of a detected position value of the motor or the control target during execution of positioning control on the control target, and a learning unit to obtain a learning result by learning a relation between the position command parameter and the evaluation value when positioning control is executed plural times, while changing each of shapes of an acceleration in an accelerating section and a decelerating section independently.

Abstract: A geographic object recognition unit (120) recognizes, using image data (192) obtained by photographing in a measurement region where a geographic object exists, a type of the geographic object from an image that the image data (192) represents. A position specification unit (130) specifies, using three-dimensional point cloud data (191) indicating a three-dimensional coordinate value of each of a plurality of points in the measurement region, a position of the geographic object.