JP-2026076052-A - Know-how management method and information processing device

Abstract

[Challenge] By using machine learning, etc., we can facilitate the time-series management of know-how and increase the reliability of the accumulated know-how. [Solution] The method includes acquiring know-how information, identifying the technical field of the know-how information, and independently performing version control for each identified technical field of multiple pieces of know-how information. [Selection Diagram] Figure 1

Inventors

• 奥山 学
• 岡本 昌之
• 山室 直樹
• 竹内 康臣

Assignees

• トヨタ自動車株式会社

Dates

Publication Date

20260511

Application Date

20241023

Claims (5)

1. A method for managing know-how that is executed by an information processing device, Upon acquiring know-how information, the technical field of the said know-how information is identified, Version control of multiple know-how information items is performed independently for each specified technical field, A method for managing know-how, including the following.
2. Identifying the aforementioned technical field involves identifying the aforementioned technical field of the know-how information based on a trained model generated by machine learning. The know-how management method described in claim 1.
3. When new know-how information is acquired in a specific technical field, it is necessary to determine whether or not such know-how information is valid. If the know-how information is deemed valid, it will be stored as the latest version of the information; if the know-how information is deemed invalid, it will not be stored. The know-how management method according to claim 1, further comprising:
4. The determination of whether or not the above is valid is made based on the skill map of the know-how information provider. The know-how management method according to claim 3, wherein the skill map includes information on the length of service of the know-how information provider.
5. An information processing device, Upon acquiring know-how information, the technical field of the said know-how information is identified, An information processing device equipped with a control unit that independently performs version control of multiple know-how information for each specified technical field.

Description

This disclosure relates to a method for managing know-how and an information processing device. Patent Document 1 discloses a technology for generating a conversational bot specialized in a given technical field using a large-scale language model. Japanese Patent Publication No. 2023-076413 This is a block diagram showing the configuration of an information processing device according to one embodiment of the present disclosure.This flowchart shows an example of operation of an information processing device according to one embodiment of the present disclosure. Hereinafter, an embodiment of this disclosure will be described with reference to the drawings. In each drawing, parts having the same configuration or function are denoted by the same reference numerals. In the description of this embodiment, redundant descriptions of identical parts may be omitted or simplified as appropriate. Referring to Figure 1, the configuration of the information processing device 1 according to one embodiment of this disclosure will be described. The information processing device 1 comprises a control unit 10, a storage unit 20, an input unit 30, and an output unit 40. The control unit 10 includes one or more processors, one or more dedicated circuits, or a combination thereof, and executes predetermined processing. The processor is a general-purpose processor such as a CPU (Central Processing Unit) or GPU (Graphics Processing Unit), or a dedicated processor specialized for specific processing. The dedicated circuit is, for example, an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit). The control unit 10 executes various processes related to the operation of the information processing device 1 and controls each part of the information processing device 1. The storage unit 20 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or at least two combinations thereof. The storage unit 20 stores data used for the operation of the information processing device 1 and data obtained through the operation of the information processing device 1. The input unit 30 includes one or more input interfaces. These input interfaces may be, for example, physical keys, capacitive keys, a pointing device, a touchscreen integrated with a display, or a microphone that accepts voice input. The input unit 30 accepts operations to input information used for the operation of the information processing device 1. The output unit 40 includes one or more output interfaces. These output interfaces are, for example, connection interfaces to external or built-in displays or external output devices that output information as images or videos. The displays are, for example, LCD (Liquid Crystal Display) or organic EL (Electro-Luminescence) displays. The output unit 40 outputs information obtained through the operation of the information processing device 1. The following describes a know-how management method according to one embodiment of this disclosure. The control unit 10, upon acquiring new know-how information via the input unit 30, identifies the technical field to which the know-how information belongs. The technical field may be pre-stored in the storage unit 20. The technical field may be, for example, "safety technology" or "methods for establishing employee regulations." When acquiring new know-how information, the control unit 10 may also acquire information on the technical field to which the know-how information belongs, or it may identify the technical field from the title or content of the know-how information. The technical field may be identified, for example, by performing machine learning using data linking the title or content of the know-how information to the technical field to which it belongs as training data, and then identifying the field based on the generated trained model. The control unit 10 manages the versioning of know-how information for each technical field. The control unit 10 may manage versioning by designating one or more specific technical fields of know-how information as the first technical field, and the other technical fields as the second technical field. In other words, know-how belonging to technical fields other than those of specific know-how information may be managed collectively. The control unit 10 may determine whether newly acquired know-how information belonging to a specific technical field is valid. For example, the skill map of the know-how information provider may be used as a criterion for this determination. Validity may be determined by whether the know-how information provider's skill map exceeds a predetermined threshold. The skill map includes, but is not limited to, years of service, job title, etc. For example, the control unit 10 may determine that the know-how information is valid if the know-how information provider's years of service exceed a predetermined threshold for a specific technical field. On