Working machine, information processing device, and program

Abstract

An information processing device includes an operation planning part configured to determine a future operation of a working machine from among a plurality of operations according to a performance status of an operation of the working machine. A non-transitory computer-readable recording medium has a program embodied therein for causing an information processing device to determine a future operation of a working machine from among a plurality of operations according to a performance status of an operation of the working machine.

What is claimed is: 
     
         1 . An information processing device comprising an operation planning part configured to determine a future operation of a working machine from among a plurality of operations according to a performance status of an operation of the working machine. 
     
     
         2 . A working machine comprising the information processing device according to  claim 1 , and an operation planning part configured to determine a future operation of the working machine from among a plurality of operations according to a performance status of an operation of the working machine. 
     
     
         3 . The working machine according to  claim 2 , further comprising a prediction part configured to predict a future state of a target material according to the performance status of the operation of the working machine,
 the operation part wherein planning is configured to determine the future operation of the working machine from among the plurality of operations, based on a prediction result of the future state of the target material by the prediction part.   
     
     
         4 . The working machine according to  claim 3 , wherein the prediction part is configured to predict the future state of the target material, based on a path of a work part by an operation of the working machine. 
     
     
         5 . The working machine according to  claim 4 , wherein:
 the prediction part is configured to predict a state of the target material after completion of a current operation of the working machine or a next operation after the current operation, based on the path of the work part by the current operation of the working machine or a next scheduled operation; and   the operation planning part is configured to determine the next operation after the current operation of the working machine or a further next operation after the next scheduled operation from among the plurality of operations, based on the prediction result of the future state of the target material by the prediction part.   
     
     
         6 . The working machine according to  claim 4 , further comprising:
 a generation part configured to generate a path of the work part by an operation of the working machine, based on a state of the target material; and   a control part configured to control an operation of the working machine so that the work part moves along the path generated by the generation part,   wherein the prediction part is configured to predict the future state of the target material, based on a current state of the target material and the path of the work part generated by the generation part.   
     
     
         7 . The working machine according to  claim 6 , wherein:
 the prediction part is configured to predict the state of the target material after a elapse of a predetermined time; and   the generation part is configured to generate the path of the work part after the elapse of the predetermined time, based on the prediction result of the state of the target material after the elapse of the predetermined time by the prediction part.   
     
     
         8 . The working machine according to  claim 6 , wherein the generation part is configured to generate the path of the work part, based on measurement data of the state of the target material, by using an objective function and a constraint function defined for each of the plurality of operations. 
     
     
         9 . The working machine according to  claim 6 , wherein:
 the path of the work part is expressed by a predetermined number of parameters for each of the plurality of operations, the predetermined number being two or greater; and   the generation part is configured to generate the path of the work part by determining the predetermined number of parameters, based on the state of the target material.   
     
     
         10 . The working machine according to  claim 3 , wherein the state of the target material includes at least one of a shape and a characteristic of earth on a surface of the target material. 
     
     
         11 . The working machine according to  claim 2 , further comprising a notification part configured to notify an operator of the future operation determined by the operation planning part. 
     
     
         12 . A non-transitory computer-readable recording medium having a program embodied therein for causing an information processing device to determine a future operation of a working machine from among a plurality of operations according to a performance status of an operation of the working machine. 
     
     
         13 . A non-transitory computer-readable recording medium having a program embodied therein for causing a support device to perform:
 determining a future operation of a working machine from among a plurality of operations according to a performance status of an operation of the working machine; and   notifying an operator of the determined future operation.   
     
     
         14 . The working machine according to  claim 2 , wherein the plurality of operations are of different types, and each type is predetermined. 
     
     
         15 . The working machine according to  claim 3 , further comprising a storage part configured to store a trained model for outputting one operation from among the plurality of operations, when the state of the target material is an input,
 wherein the operation planning part is configured to determine the future operation of the working machine from among the plurality of operations by using the trained model, based on the prediction result of the future state of the target material by the prediction part.   
     
     
         16 . The working machine according to  claim 3 , wherein:
 a candidate operation capable of transitioning as a next operation within the plurality of operations, starting from a target operation by each of the plurality of operations, and a transition condition for transitioning to the candidate operation are predetermined; and   the operation planning part is configured to determine the future operation of the working machine from among the plurality of operations by using the transition condition, based on the prediction result of the future state of the target material by the prediction part.   
     
     
         17 . The working machine according to  claim 3 , wherein:
 the prediction part is configured to predict a state of the target material at a predetermined time in future, based on the operation status of the working machine; and   the operation planning part is configured to determine a future operation starting from the predetermined time, based on the prediction result of the state of the target material at the predetermined time in the future by the prediction part.   
     
     
         18 . The working machine according to  claim 2 , wherein the operation planning part is configured to determine an undetermined future operation of the working machine from among a plurality of operations according to the performance status of the operations of the working machine. 
     
     
         19 . The working machine according to  claim 3 , further comprising a storage part configured to store a trained model for outputting one operation from among the plurality of operations, when information concerning the performance status of the operation of the working machine is an input,
 wherein the prediction part is configured to predict the future state of the target material, based on the information concerning the performance status of the operation of the working machine, using the trained model.