Information processing device and operation curve generation method

Abstract

An information processing device in an embodiment includes a storage and an operation curve generator. The storage stores therein linear data including a slope and a curve for each set of certain locations, and train data including an acceleration-deceleration characteristic. The operation curve generator sets a plurality of deceleration section candidates on the basis of the linear data about the set of certain locations stored in the storage, obtains, for each of the deceleration section candidates, a change rate of energy consumption when the deceleration is performed by a certain speed using a preset operation curve, the linear data, and the train data, selects the section in which the change rate of energy consumption in the obtained change rates of energy consumption is the largest from the deceleration section candidates, and updates the preset operation curve utilizing the selected deceleration section and the certain speed.

1 . An information processing device, comprising:
 a storage that stores therein linear data including a slope and a curve for each set of certain locations, and train data including an acceleration-deceleration characteristic; and   an operation curve generator, wherein   the operation curve generator sets a plurality of deceleration section candidates on the basis of the linear data about the set of certain locations stored in the storage, obtains, for each of the deceleration section candidates, a change rate of energy consumption when deceleration is performed by a certain speed using a preset operation curve, the linear data, and the train data, selects a section in which the change rate of energy consumption is the largest in the obtained change rates of energy consumption out of the deceleration section candidates, and updates the preset operation curve utilizing the selected deceleration section and the certain speed.   
     
     
         2 . The information processing device according to  claim 1 , wherein the operation curve generator calculates a running time between the certain locations on the basis of the updated operation curve, obtains, in a case in which the calculated running time is in a predetermined maximum running time, the change rate of energy consumption when the deceleration is performed by the certain speed using the deceleration section candidates, the linear data, and the train data that are stored in the storage and the updated operation curve, selects the section in which the change rate of energy consumption is the largest in the obtained change rates of energy consumption out of the deceleration section candidates, and updates the preset operation curve utilizing the selected deceleration section and the certain speed. 
     
     
         3 . The information processing device according to  claim 1 , wherein the deceleration section candidate is a section, in each of a plurality of sections divided between the certain locations, in which a decreased amount of energy consumption caused by a deceleration amount increased with respect to the preset operation curve is larger than an increased amount of energy consumption caused by an acceleration amount increased with respect to the preset operation curve. 
     
     
         4 . The information processing device according to  claim 1 , wherein the certain speed is set in such a range that regeneration energy increased by deceleration is consumed by an external load. 
     
     
         5 . An information processing device, comprising:
 a storage that stores therein linear data including a slope and a curve for each set of certain locations, and train data including an acceleration-deceleration characteristic; and   an operation curve generator, wherein the operation curve generator sets, on the basis of the linear data about the set of certain locations stored in the storage, a plurality of sections divided between the locations, obtains a passing-through speed at each boundary of the sections for each of a case of running between the certain locations fastest, a case of running between the certain locations in a permissible maximum running time, and a case of running in a range from the fastest running to the running in the maximum running time on the basis of the train data, obtains, on the basis of the obtained passing-through speeds, combinations of the passing-through speeds at a first boundary and the passing-through speeds at a second boundary passed through next to the first boundary, and when a plurality of same combinations of the passing-through speed at the second boundary and the running time to the second boundary are present, selects the combination having the least energy consumption, selects the combination, by utilizing the combinations of the multiple passing-through speeds at the respective obtained and selected boundaries, in which the energy consumption between the certain locations is a minimum that is obtained using the linear data and the train data, and generates the operation curve on the basis of the selected combination.   
     
     
         6 . An operation curve generation method that uses linear data including a slope and a curve for each set of certain locations and train data including an acceleration-deceleration characteristic, the linear data and the train data being stored in a storage, the operation curve generation method comprising:
 setting a plurality of deceleration section candidates between the certain locations stored in the storage;   obtaining, for each of the deceleration section candidates, a change rate of energy consumption when deceleration is performed by a certain speed using a preset operation curve, the linear data, and the train data;   selecting a section in which the change rate of energy consumption is the largest in the obtained change rates of energy consumption out of the deceleration section candidates; and   updating the preset operation curve utilizing the selected deceleration section and the certain speed.   
     
     
         7 . (canceled)