Mitsubishi Electric Corporation

Hideyuki Masui

Hiroshi Yoshikawa

Masashi Watanabe

Hidetoshi Ikeda

Yoshimi Moriya

Naoto Takano

Takayuki Nakagawa

Kenta Fujii

Yusuke Itani

Takuma Kadoya

Katsuyuki Kamei

Masaya Kimura

Masaki Seguchi

Kyohei Ishikawa

Mamoru Miura

Hideki Asoh

Motoaki Nishiwaki

Koki Nakane

Jun Maruta

Daisaku Matsumoto

Atsunori Kanemura

Ayako Nemoto

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.

Machining condition searching device and machining condition searching method

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.

Positioning control device and positioning method

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. The optimum machining condition calculation unit obtains an optimum machining condition on the basis of a prediction value predicted by the prediction unit and an evaluation value generated by the machining evaluation unit. The optimum machining condition is a machining condition under which an evaluation value is equal to or greater than a threshold and a tolerance is maximum.

Machining condition search device and machining condition search method

A geographic object recognition unit () recognizes, using image data () 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 () represents. A position specification unit () specifies, using three-dimensional point cloud data () indicating a three-dimensional coordinate value of each of a plurality of points in the measurement region, a position of the geographic object.

Geographic object detection apparatus and geographic object detection method

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Tokyo, Japan

Hideyuki Masui