system

JP2026102197APending Publication Date: 2026-06-23SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-11
Publication Date
2026-06-23

AI Technical Summary

Benefits of technology

【0005】 本発明は、指令文書をデータベースから取得し、前処理を施した上で、深層学習モデルを用いて廃止可能性を予測するシステムを提供することで、上記課題を解決する。さらに、廃止可能と判断された指令文書について、作業箇所を自動的に特定し、出力する機能を備えている。これにより、廃止作業の効率化を図り、作業の誤りを防止することができる。

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Abstract

Provide a system. 【Solution means】 Means for obtaining a command document from an information management device; Means for preprocessing the information of the obtained command document; Means for training a machine learning model using the preprocessed information; Means for predicting the revocation possibility using the machine learning model based on a new command document; Means for identifying a necessary work location for a command document determined to be revocable; Means for visualizing and outputting the identified work location to an information terminal; Means for displaying the procedure of the revocation work on a mobile device; A system including the above.
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Claims

1. Means for obtaining instruction documents from information management devices, A means for pre-processing the information of the acquired instruction document, A method for training a machine learning model using pre-processed information, A means for predicting the likelihood of decommissioning based on a new directive document using the machine learning model, Regarding directive documents that have been deemed eligible for decommissioning, the means to identify the necessary work locations, A means of visualizing and outputting the identified work location on an information terminal, A means of displaying the decommissioning procedure on a mobile device, A system that includes this.

2. The system according to claim 1, comprising means for analyzing configuration information related to a command document that is predicted to be decommissionable and for identifying a communication means.

3. The system according to claim 1, further comprising means for analyzing past instruction documents and their processing results using the machine learning model, thereby improving the accuracy of the discontinuation decision.