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Information processing device, information processing method, and program

An information processing device and defined technology, applied in neural learning methods, machine learning, instruments, etc.

Pending Publication Date: 2021-05-04
KK TOSHIBA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the prior art, there is a problem of not being able to deal with constituent changes

Method used

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  • Information processing device, information processing method, and program
  • Information processing device, information processing method, and program
  • Information processing device, information processing method, and program

Examples

Experimental program
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Embodiment Construction

[0036] Hereinafter, an information processing device, an information processing method, and a program according to an embodiment will be described with reference to the drawings. Hereinafter, in the following description, an equipment change plan will be described as an example of processing performed by the information processing device. In addition, the present embodiment is not limited to the problem of equipment change planning for social infrastructure systems.

[0037] First, a power system example will be described.

[0038] figure 1 It is a figure which shows the example of the power system system model for evaluation. Such as figure 1 Thus, the power system model for evaluation includes AC power sources V_0 to V_3, transformers T_0 to T_8, and buses B1 to B14. The bus is a concept that connects the supply source and the demand side of electric power.

[0039] In the equipment change here, for transformer T_0 between bus B4 and bus B7, transformer T_1 between bus ...

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Abstract

Provided are an information processing device, an information processing method, and a program with which it is possible to create a social infrastructure change scheme. An information processing device includes a definer, a determiner, and a reinforcement learner. The definer is configured to associate a node and an edge with attributes and to define a convolution function associated with a model representing data of a graph structure representing a system structure on the basis of data regarding the graph structure. The evaluator is configured to input a state of the system into the model. The evaluator is configured to obtain, for each time step, a policy function and a state value function for a system of one or more structurally changed models which have been changed with assumable structural changes from the model for each time step. The evaluator is configured to evaluate the structural changes in the system on the basis of the policy function. The reinforcement learner is configured to perform reinforcement learning by using a reward value as a cost generated when the structural change is applied to the system, the state value function, and the model, to optimize the structural change in the system.

Description

technical field [0001] Embodiments of the present invention relate to an information processing device, an information processing method, and a program. Background technique [0002] In recent years, the problem of aging can be cited as a major issue in social infrastructure systems. For example, in the power system, the aging of the world's substation equipment is becoming more and more serious, so it is very important to formulate equipment investment plans. Experts in various fields have developed solutions to such equipment investment planning issues. Regarding the planning method applied to the social infrastructure system, it may be necessary to satisfy the necessary conditions of large-scale, diversity, and variability. However, in the prior art, there is a problem that configuration changes cannot be handled. [0003] prior art literature [0004] patent documents [0005] Patent Document 1: Japanese Patent Laid-Open No. 2007-80260 [0006] non-patent literatur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06N20/00G06V10/764
CPCG06N3/08G06N20/00G06N3/045G06N3/006G06N3/088G06V10/82G06V10/764G06N7/01G06F18/2413Y04S10/50G06F17/18G06F18/29G06F18/217G06F18/2113
Inventor 釜谷幸男伊藤秀将花井克之汤浅真由美苏鸣镝
Owner KK TOSHIBA
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