Information processing apparatus and information processing method

Abstract

To improve comprehensiveness of reliability information.SOLUTION: The information processing apparatus 100 includes a review information input unit 103 configured to input review information of a product, a target item extraction unit 115 configured to extract, based on the review information, any one or more of a component constituting the product, an event occurring in the component, a cause of the event, and an influence caused by the occurrence of the event as a target item, an association information holding unit 111 configured to hold association information in which any two or more items including the target item are associated with each other among the component, the event, the cause, and the influence, and a second association information generation unit 111 configured to generate first association information which is a description of the target item based on the review information, specify another item other than the target item based on the first association information, and generate second association information in which the specified other item and the first association information are associated with each other. And an association information editing unit 116 that generates combination information in which the second association information is combined with the association information, and an input / output unit 101 that outputs the combination information generated by the association information editing unit 116.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device and an information processing method. [Background technology]

[0002] In order to maintain the reliability, safety, and maintainability of equipment, it is necessary to write down and analyze the reliability knowledge of the target equipment at the preliminary design stage and the stage of formulating the operation plan.When writing down the reliability knowledge of equipment, methods such as Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) are often used.

[0003] Patent Document 1 discloses a technology for creating an FMEA sheet. This publication states that "the method includes the steps of: importing a plurality of documents; morphologically analyzing words in each of the imported documents using a morphological analysis dictionary to divide them into a plurality of morphological words; calculating the co-occurrence frequency of the morphological words in the documents; generating a co-occurrence frequency network using morphological words that have a co-occurrence frequency relationship of at least a certain level among the plurality of morphological words; grouping the plurality of documents using the co-occurrence frequency network; extracting, from each document belonging to the same group, words that are identical to FMEA words registered in an FMEA word concept dictionary as FMEA words to be used in creating an FMEA sheet; and substituting the extracted FMEA words into the FMEA sheet." [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2008-102758 Summary of the Invention [Problem to be solved by the invention]

[0005] It is difficult to comprehensively write out information using Patent Document 1. In reality, it is necessary to combine the creation of failure mode and effect analysis sheets by these automatic processes with manual review and knowledge writing.

[0006] Furthermore, it is difficult to write out reliability information that comprehensively takes into account various operating conditions and external environments. In practice, the conditions for completing a failure mode and effects analysis are often determined by determining in advance the items to be considered in the analysis and then reaching a consensus among various stakeholders involved in the analysis, such as design, operation, and maintenance personnel. However, if too much focus is placed on the items to be considered, other important events may be overlooked. This could result in a loss of reliability or safety of the equipment, which could lead to a serious accident.

[0007] An object of the present invention is to provide an information processing device and an information processing method with improved comprehensiveness of reliability information. [Means for solving the problem]

[0008] In order to solve the above-mentioned problems, an information processing device of the present invention comprises: a consideration information input unit that inputs consideration information about a product; a target item extraction unit that extracts, based on the consideration information, one or more of a part that constitutes the product, an event that occurs in the part, a cause of the event, and an impact of the occurrence of the event as target items, and extracts requirements that the target items must satisfy; a linking information storage unit that stores linking information that links two or more items, including the target item, from the part, the event, the cause, and the impact; a linking information editing unit that generates first related information that is a description of the target item based on the target item and the requirements, identifies items other than the target item based on the first related information, generates second related information that associates the identified items with the first related information, and generates combination information by combining the second related information with the linking information; and an output unit that outputs the combination information generated by the linking information editing unit.

[0009] an information processing method according to the present invention, comprising the steps of: an investigation information input unit receiving input of investigation information for a product; a target item extraction unit extracting, based on the investigation information, one or more of a part constituting the product, an event occurring in the part, a cause of the event, and an impact of the occurrence of the event as target items, and extracting requirements to be satisfied by the target items; a linking information holding unit holding linking information linking two or more of the part, the event, the cause, and the impact, including the target item; an association information editing unit generating, based on the target item and the requirements, first association information that describes the target item; an association information editing unit identifying, based on the first association information, items other than the target item, and generating second association information that associates the identified items with the first association information; an association information editing unit generating combination information by combining the second association information with the association information; and an output unit outputting the combination information generated by the association information editing unit. Other means will be described in the detailed description of the invention. [Effects of the Invention]

[0010] According to the present invention, it is possible to improve the comprehensiveness of reliability information. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a configuration diagram of a support system according to an embodiment of the present invention. [Figure 2] 10 is an example of a screen of an input / output unit. [Figure 3A] FIG. 10 is a diagram illustrating basic information of a linking information storage unit. [Figure 3B] FIG. 10 is a diagram illustrating an example of a failure mode and effect analysis ontology in the association information storage unit. [Figure 3C] 10A and 10B are diagrams illustrating examples of linking information stored in a linking information storage unit. [Figure 4A]FIG. 10 is a diagram showing property information of a battery cell. [Figure 4B] FIG. 10 is a diagram illustrating property information of an overcurrent. [Figure 4C] FIG. 10 is a diagram showing property information of a “fire caused by thermal runaway” node. [Figure 4D] FIG. 10 is a diagram showing property information of a "cooling system failure" node. [Figure 5] FIG. 10 is a diagram illustrating a prompt database for generating linking information. [Figure 6A] FIG. 10 is a diagram showing generation data in JSON format output by the linking information generation unit using a question and answer model. [Figure 6B] FIG. 10 is a diagram showing linking information obtained by converting generation data into a graph structure. [Figure 7A] FIG. 10 is a diagram showing generation data in JSON format output by the linking information generation unit using a question and answer model. [Figure 7B] FIG. 10 is a diagram showing linking information obtained by converting generation data into a graph structure. [Figure 8A] FIG. 10 is a diagram showing generation data in JSON format output by the linking information generation unit using a question and answer model. [Figure 8B] FIG. 10 is a diagram showing linking information obtained by converting generation data into a graph structure. [Figure 9A] FIG. 10 is a diagram illustrating a failure mode and effect analysis ontology of the association information storage unit. [Figure 9B] FIG. 10 is a diagram showing a prompt sentence. [Figure 9C] FIG. 10 is a diagram showing the target items and requirements of JSON format data output by the linking information generation unit using a question and answer model. [Figure 10A] 10 is a diagram showing target items and requirements of JSON format data output by the first related information generation unit using a question and answer model. FIG. [Figure 10B] FIG. 10 is a diagram showing an example of a prompt sentence. [Figure 10C] FIG. 10 is a diagram showing first related information. [Figure 11] FIG. 10 is a diagram illustrating an editing procedure database. [Figure 12A] FIG. 10 is a diagram illustrating linking information related to procedure #1. [Figure 12B] FIG. 10 is a diagram illustrating a prompt sentence for procedure #1. [Figure 12C] FIG. 10 is a diagram illustrating linking information related to procedure #1. [Figure 13A] FIG. 10 shows the prompt text for step #2. [Figure 13B] FIG. 10 is a diagram showing second related information generated in procedure #2. [Figure 14A] FIG. 10 shows the prompt text for step #3. [Figure 14B] FIG. 10 is a diagram showing the linking information generated in step #3. [Figure 15A] 1 is a flowchart of a process according to an embodiment of the present invention. [Figure 15B] 1 is a flowchart of a process according to an embodiment of the present invention. [Figure 16] FIG. 1 is a block diagram of an information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings. The information processing device of this embodiment supports the creation of a failure mode and effect analysis sheet as linked information related to the reliability of specific equipment. Here, the failure mode and effect analysis refers to information that links together information on a target component, a failure mode that may occur in this component, the impact of the occurrence of the failure mode, and the cause of the occurrence of the failure mode. The target equipment in this embodiment is, for example, a "battery system" that includes multiple storage batteries. Furthermore, the item to be considered in the failure mode and effect analysis is "design considerations related to fire prevention."

[0013] FIG. 1 is a configuration diagram of an information processing device 100 according to this embodiment. The information processing device 100 of this embodiment includes an input / output unit 101 and a failure mode and effect analysis creation support unit 102. The input / output unit 101 is a user interface that is operated by a user when creating a failure mode and effect analysis. The input / output unit 101 displays information on a display unit, accepts mouse operations and character string input from a keyboard, and is also capable of uploading input data and downloading output data.

[0014] The input / output section 101 includes a study information input section 103, a product name input section 104, an automatic creation instruction section 105, a failure mode and effect analysis display and editing section 106, a download button 107, an upload button 123, a study information statistics output section 108, and a save button 109.

[0015] FIG. 2 is an example of a screen of the input / output unit 101. The screen of this input / output unit 101 is a screen displayed on the display unit of the information processing device 100. The information processing device accepts input of information via the screen of the input / output unit 101 and outputs information.

[0016] The product name input section 104 is a text box for inputting the name of the equipment or product to be targeted when writing out the linking information related to reliability. In this embodiment, the product name input section 104 has "battery system" input as the target product name.

[0017] The consideration information input unit 103 is a text box into which the user inputs the desired product consideration information when writing out the reliability-related linking information. The consideration information input unit 103 in this embodiment accepts input in natural language. However, without being limited to this, the consideration information input unit 103 may be configured to accept input of structured information in the form of specific items and points to be focused on in the items of failure mode and effect analysis.

[0018] The user inputs, for example, "design study regarding fire prevention" in natural language to the study information input unit 103 of this embodiment. In this way, the user enters information regarding the impact that the user wants to prevent as study information into the study information input unit 103. Other information entered into the study information input unit 103 may be information regarding the current study phase of the target facility, such as "design study regarding the cooling system," information regarding maintenance measures to be implemented in the future, such as "introduction of a predictive maintenance system," or information such as "use as educational material."

[0019] The automatic creation instruction unit 105 is an instruction unit that accepts user instructions for the automatic creation of linking information related to reliability, which is performed by the failure mode and effect analysis creation support unit 102. The automatic creation instruction unit 105 is configured to include a "Generate component tree" button 201, a "Generate failure modes" button 202, a "Generate effects" button 203, and a "Generate causes" button 204.

[0020] For example, when a user clicks the "Generate Failure Mode" button 202, the failure mode effect analysis creation support unit 102 (described later) automatically creates a failure mode for each component of the battery system and outputs it to the failure mode effect analysis display / edit unit 106. The automatic creation instruction unit 105 further includes a target part ID text box 205 and a detailed instruction text box 206 .

[0021] The target part ID text box 205 is a text box that accepts input of the target part ID. The user can input the part ID entered on the failure mode effect analysis display editing unit 106 into the target part ID text box 205 and click the "Generate failure mode" button 202 to instruct the generation of a failure mode for the target part.

[0022] The detailed instruction text box 206 is a text box in which the user can input detailed instructions in natural language regarding what information they want to output. The user can specify "output a failure mode when the external temperature is lower than a specified temperature" in the detailed instruction text box 206 and click the "Generate failure mode" button 202 to instruct the generation of a failure mode when the external temperature is lower than a specified temperature.

[0023] The failure mode and effect analysis display editing unit 106 displays the currently created linking information related to reliability in an editable format that is easy for the user to view. In this embodiment, the failure mode and effect analysis display editing unit 106 outputs, in a table format, component names, failure mode names, effect names, cause names, IDs, and combination information indicating the relationships between them. However, the failure mode and effect analysis display editing unit 106 is not limited to this, and the table items may include the contents of other linking information. Furthermore, the failure mode and effect analysis display editing unit 106 may display, instead of a table structure, a graph structure consisting of nodes and edges, or a natural language description. The failure mode and effect analysis display editing unit 106 functions as an output unit that outputs the combination information generated by the linking information editing unit 116.

[0024] The information displayed in the failure mode effect analysis display editing unit 106 can be edited by the user through on-screen operations. For example, if "over-discharge", which is not output as a failure mode for "battery cell", is added to the table, the data of the linking information, which will be described later, can also be edited and updated.

[0025] The study information statistics output unit 108 is capable of calculating and outputting related statistics for the study information set in the study information input unit 103 from the linking information on reliability currently being created. Detailed processing will be described later, but in the case of "design study on fire prevention," the target item extraction unit defines the statistics on how many pieces of fire-related impact information have been output and what percentage of the total impact it accounts for, and then calculates and displays the actual statistics.

[0026] The URL text box 124 is a text box for specifying the download destination and upload destination. When the URL (Uniform Resource Locator) of a file is specified in the URL text box 124 and the download button 107 is clicked, the save processing unit 121 downloads the linking information related to trustworthiness stored in the URL to this information processing device. When the URL of a file is specified in the URL text box 124 and the upload button 123 is clicked, the save processing unit 121 uploads the linking information related to trustworthiness to the location specified by the URL. Uploading and downloading are performed using files in a predetermined format designed in advance, such as a CSV (Comma Separated Values) file, a JSON file, a Markdown Mermaid file, or a binary file.

[0027] When the save button 109 is clicked, the save processing unit 121 saves the linking information. The save processing unit 121 of this embodiment stores and saves the linking information in the failure mode and effect analysis database 110.

[0028] Continuing the explanation, returning to Figure 1, the failure mode and effect analysis creation support unit 102 is configured to include a linking information holding unit 111, a display data conversion unit 112, a save processing unit 121, a generation data conversion unit 114, a linking information generation unit 113, a linking information generation prompt database 122, a target item extraction unit 115, and a linking information editing unit 116.

[0029] The linking information holding unit 111 holds linking information related to reliability. The linking information related to reliability is displayed in the failure mode and effect analysis display and editing unit 106 of the input / output unit 101, is used by the study information statistics output unit 108, and is also saved by the saving processing unit 121. The linking information related to reliability stored in the linking information holding unit 111 is shown in Figures 3A to 3C and 4A to 4D. The linking information holding unit 111 holds various basic information 301, a failure mode and effect analysis ontology 302 for the target reliability information, and linking information 303.

[0030] FIG. 3A is a diagram illustrating basic information 301 in the association information storage unit 111. As shown in FIG. The basic information 301 includes information from the product name input section 104, information from the review information input section 103, and basic information related to writing out reliability information such as a detailed description of the content to be implemented, the name of the person who performed the editing, and the date and time of editing.

[0031] 3B is a diagram showing an example of the failure mode and effect analysis ontology 302 in the linking information storage unit 111. FIG. The failure mode and effect analysis ontology 302 describes the information items held in the linking information 303 and the possible relationships between the items. In this embodiment, four types of items are held by the failure mode and effect analysis: part 3021, failure mode 3022, effect 3023, and cause 3024. In this embodiment, the parent-child relationships between multiple parts 3021 can be described. In this embodiment, the failure mode 3022 can be described linked to the part 3021, and the effect 3023 and cause 3024 can be described linked to the failure mode 3022. In addition, a causal relationship can be set between the effect 3023 and the cause 3024.

[0032] In this embodiment, the above is the failure mode and effect analysis ontology 302, but other than this, functions may be linked to components, or functional failure information may be linked to functions. Furthermore, in the case of other analysis methods such as FTA (Fault Tree Analysis), other forms of ontology may be used, such as component names and failure events, or causal chains of failure events and logic circuit information. Furthermore, this ontology does not have to be written in the linking information storage unit 111, but may be defined in the format or query language in the save processing unit 121, or in the processing executed by the generation data conversion unit 114 or the display data conversion unit 112.

[0033] The linking information 303 is information related to reliability. In this embodiment, data is held in a graph structure described by nodes and edges, but other formats such as JSON or a table structure may also be used. In the linking information 303 of Fig. 3C, among the nodes, component information is represented by a solid line, failure modes by fine dashed lines, effects by coarse dashed lines, and causes by coarse chain lines and hatching.

[0034] In the failure mode and effect analysis ontology 302, a battery module 3032 and a battery management system 3033 are described as child nodes related to the components of a battery system 3031. The child nodes related to the components of this battery module 3032 are a battery cell 3034 and a cooling system 3041. The child nodes related to the failure mode of the battery cell 3034 are a short circuit 3035, an overcurrent 3036, and high temperature operation 3037. The child nodes related to the cause of high temperature operation 3037 are a "fire due to thermal runaway" node 3039 and a "failure in the cooling system" node 3040.

[0035] Furthermore, the child node relating to the parts of the cooling system 3041 is refrigerant piping 3042. The child node relating to the failure mode of the refrigerant piping 3042 is crack 3043. The child node relating to the cause of the crack 3043 is aging 3045. The child node relating to the effect of the crack 3043 is reduced flow rate 3044. The child node relating to the cause of the reduced flow rate 3044 is the "fault with the cooling system" node 3040.

[0036] For example, a battery module, a battery management system, etc. are described as subcomponents of a battery system according to the failure mode and effect analysis ontology 302. Also, short circuit, overcurrent, and high temperature operation are described as failure modes of a battery cell. Regarding the high temperature operation failure mode, a fire caused by thermal runaway is described as an effect, and a fault in the cooling system is described as a cause.

[0037] FIG. 4A is a diagram showing property information 4034 of a battery cell 3034. As shown in FIG. The property information 4034 of the battery cell 3034 is stored in the association information storage unit 111. The property information 4034 of the battery cell 3034 includes a part name line, a part ID line that uniquely identifies the node, and a detailed description line that describes the node.

[0038] FIG. 4B is a diagram showing property information 4036 of the overcurrent 3036. Property information 4036 of the overcurrent 3036 is stored in the association information storage unit 111. The property information 4036 of the overcurrent 3036 includes a failure mode name row, a failure mode ID row that uniquely identifies the node, a detailed description row that explains the node, and an occurrence frequency row. The occurrence frequency row stores a multi-level evaluation of the occurrence frequency.

[0039] FIG. 4C is a diagram showing property information 4039 of the “fire caused by thermal runaway” node 3039. The property information 4039 of the "fire caused by thermal runaway" node 3039 is stored in the linking information storage unit 111. The property information 4039 of the "fire caused by thermal runaway" node 3039 is composed of an impact name row, an impact ID row that uniquely identifies the node, a detailed description row that explains the node, an impact row, and an impact type row. The impact row stores an evaluation of the magnitude of the impact. The impact type row stores the impact type, such as safety, economics, or environmental impact.

[0040] FIG. 4D is a diagram showing property information 4040 of the “cooling system failure” node 3040. The property information 4040 of the "cooling system failure" node 3040 is stored in the association information storage unit 111. The property information 4040 of the "cooling system failure" node 3040 includes a cause name row, a cause ID row that uniquely identifies the node, a detailed description row that explains the node, a detectability row, and a cause type row. The detectability row stores the detectability and detection method. The cause type row stores information indicating whether the cause is internal or external. In addition, a consideration information flag, which will be output later, may be stored as a property.

[0041] Returning to Fig. 1, the explanation will be continued. The display data converter 112 performs data conversion between the format displayed in the failure mode and effect analysis display and editing unit 106 and the format of the linking information 303 stored in the linking information holding unit 111. For example, the display data converter 112 of this embodiment converts the linking information 303 held in a graph structure into a table format and displays it in the failure mode and effect analysis display and editing unit 106. The display data converter 112 then converts the data into a predetermined file format and uploads it to the server 130 indicated by the external URL. The display data converter 112 further calculates and outputs statistics to be output to the study information statistics output unit 108 based on the study information flags described later.

[0042] The display data converter 112 further updates the linking information 303 stored in the linking information storage unit 111 based on the content edited by the failure mode and effect analysis display editor 106 and on a file in a predefined format downloaded from the server 130 indicated by an external URL. Note that the display data converter 112 here is not limited to conversion between a graph structure and a table format, and may convert data between any formats as long as it can convert information between the failure mode and effect analysis display editor 106, the external server 130, and the linking information 303.

[0043] When the save button 109 in the input / output unit 101 is clicked, the save processing unit 121 saves the linking information 303 in the linking information holding unit 111 in the failure mode and effect analysis database 110. The failure mode and effect analysis database 110 of this embodiment is assumed to be a graph database. The save processing unit 121 stores the linking information 303 in the failure mode and effect analysis database 110, which is a graph database, using a query language that is set in advance. Note that the failure mode and effect analysis database 110 may also be a relational database. In the same way as when the user clicks the upload button 123, the save processing unit 121 may upload a CSV file or the like to the external server 130.

[0044] The generation data conversion unit 114 performs mutual conversion between the linking information 303 and the output information of the linking information generation unit 113, and mutual conversion between the linking information 303 and prompt data used in the linking information editing unit 116. The generation data conversion unit 114 converts the graph-structured linking information 303 into generation data 601 in JSON format, for example, as shown in FIG. 6A.

[0045] The generation data conversion unit 114 further converts the generation data in JSON format into the format of graph-structured linking information 303. Here, the format that the generation data conversion unit 114 can convert into the format of graph-structured linking information 303 is not limited to JSON format, but may be any format that allows linking information to be written in a natural language format, such as Markdown Mermaid format. The operation of converting the generation data in JSON format into graph-structured linking information 303 will be described with reference to Figures 6A, 6B, 7A, 7B, 8A, and 8B.

[0046] 5 is a diagram showing details of the prompt database for generating linked information 122. The prompt database for generating linked information 122 stores input instructions 501 that can be associated with the instructions of the automatic creation instruction unit 105, as well as corresponding prompt sentences 502 and input information lists 503.

[0047] The prompt sentence 502 corresponding to the "prerequisite prompt" is shown below. "You are an expert in equipment reliability analysis. Follow the instructions below to conduct a Failure Mode and Effect Analysis (FMEA) for the target {top_component} and provide the output. FMEA is a systematic method for identifying potential defects and failures in a target piece of equipment and evaluating their impact. The purpose of FMEA is to identify risks and consider measures to reduce or eliminate them."

[0048] The prompt sentence 502 corresponding to "Create a Part Tree" is shown below. "Please write the parts explosion diagram in the following format, with the top component being the top level. Please list the parts taking into consideration the hierarchical relationships between parts. A part refers to an individual element or component that makes up a product. Please write in the following format: {format_instructions}"

[0049] When the user clicks the "Generate component tree" button 201, the linking information generating unit 13 extracts the prompt statement 502 on the first line, which is the premise, and the corresponding prompt statement 502 on the second line.

[0050] The prompt sentence 502 corresponding to "Failure Mode Generation" is shown below. "Below is a parts breakdown table with {top_component} at the top. Please list 5 to 10 failure modes for {component} in this parts breakdown in the following format: {format_instructions} A failure mode is a specific method or state in which equipment or parts no longer perform their expected function. A failure mode describes how equipment will stop functioning, in other words, what kind of failures may occur. Below is the parts configuration: {components}"

[0051] When the user clicks the "Generate failure mode" button 202, the linking information generating unit 13 extracts the prompt statement 502 on the first line, which is the premise, and the corresponding prompt statement 502 on the third line.

[0052] The prompt sentence 502 corresponding to "Generate Influence" is shown below: "Below is a parts breakdown diagram with {top_component} at the top and the failure modes for {components} in this parts breakdown. Please list 5 to 10 possible impacts of each failure mode for {component} in the format below. {format_instructions} Impact refers to the specific results or impact on the equipment or customers when a failure mode occurs. For example, consider reduced equipment functionality, impact on safety, reduced customer satisfaction, risk of violating laws and regulations, impact on the environment, economic loss, etc. Below is the parts configuration. {components} Below is a list of failure modes. {failure_modes}"

[0053] When the user clicks the "generate influence" button 203, the link information generating unit 13 extracts the prompt sentence 502 on the first line, which is the premise, and the corresponding prompt sentence 502 on the fourth line.

[0054] The prompt sentence 502 corresponding to "Cause Generation" is shown below. "Below is a parts breakdown diagram with {top_component} at the top level, and the failure modes for {components} in this parts breakdown. Please list 5 to 10 possible effects of each failure mode for {component} in the format below. {format_instructions} Cause refers to the fundamental reason or factor that causes a particular failure mode to occur. For example, consider design flaws, manufacturing issues, usage conditions and methods, human factors such as maintenance and operating errors, and external environmental factors. Below is the parts configuration. {components} Below is a list of failure modes. {failure_modes}"

[0055] When the user clicks the "Generate Cause" button 204, the linking information generating unit 13 extracts the prompt statement 502 on the first line, which is the premise, and the corresponding prompt statement 502 on the fifth line.

[0056] The link information generating unit 113 uses the prompt sentence 502 extracted from the link information generating prompt database 122 . In this embodiment, the prompt database 122 for generating linking information stores prompt statements corresponding to the "Generate component tree" button 201, "Generate failure mode" button 202, "Generate effect" button 203, and "Generate cause" button 204, as well as premise prompts that are the premise for all instructions.

[0057] Without being limited to this, the linking information generation prompt database 122 may prepare prompts for input instructions that are differentiated by case, such as when the target parts are limited. The prompt statement 502 includes variables that are replaced with specific information when used by the linking information generation unit 113, as defined in the input information list 503. Furthermore, the prompt statement 502 is not limited to the example described here, and may be any statement that can obtain the desired output.

[0058] Continuing the explanation, returning to Fig. 1, the linking information generation unit 113 creates generation data in accordance with the user's instructions, and stores the data in linking information 303 in the linking information storage unit 111 via the generation data conversion unit 114.

[0059] The linking information generation unit 113 of this embodiment creates generation data using a question-and-answer model 140 that uses a large-scale language model. Here, the linking information generation unit 113 extracts a prompt sentence 502 from the linking information generation prompt database 122 based on a user instruction, and creates a prompt sentence by substituting an input information list 503. The linking information generation unit 113 inputs the created prompt sentence into the question-and-answer model 140, thereby obtaining generation data in a specified format.

[0060] For example, the operation when the "Generate Part Tree" button 201 is clicked will be described with reference to FIGS. 5, 6A and 6B.

[0061] The linking information generation unit 113 creates a prompt sentence by substituting the character string "battery system", which is the component information input to the product name input unit 104, into the {top_component} portion of prompt sentence 502 related to "generating a component tree" in FIG. 5. The linking information generation unit 113 inputs the created prompt sentence to the question and answer model 140. As a result, the question and answer model 140 outputs generation data 601 in a JSON (JavaScript Object Notation) format, for example, as shown in FIG. 6A. The linking information generation unit 113 outputs this JSON-formatted generation data 601 to the generation data conversion unit 114.

[0062] The generation data conversion unit 114 converts the generation data 601 in JSON format and updates the linking information 303 .

[0063] FIG. 6A is a diagram showing generation data 601 in JSON format output by the question and answer model 140. The generation data 601 is in JSON format and indicates that the battery system has a battery module as a subcomponent, the battery module has a battery cell and a cooling system as subcomponents, and the cooling system has a refrigerant pipe as a subcomponent.

[0064] The root node of the generation data 601 has a "battery system" value set for the "component_name" key, and a "system for storing power using a battery" value set for the "description" key. This node also has multiple child nodes set as an array for the "subcomponents" key.

[0065] The child node of the battery system has a "battery module" value set for the "component_name" key, and a "module consisting of multiple battery cells connected in series" value set for the "description" key. This node also has child nodes set as an array for the "subcomponents" key.

[0066] The first child node of the battery module has a "component_name" key with a value of "battery cell" and a "description" key with a value of "minimum replaceable unit of lithium-ion battery." This node also has a "subcomponents" key, which is set to a null array.

[0067] The second child node of the battery module has a "cooling system" value set for the "component_name" key and a "cooling mechanism for managing the temperature of the battery cells" value set for the "description" key. This node also has child nodes set as an array for the "subcomponents" key.

[0068] The child node of the cooling system has a "refrigerant piping" value set for the "component_name" key, and a "piping for circulating refrigerant" value set for the "description" key. This node also has child nodes set as an array for the "subcomponents" key.

[0069] The generation data conversion unit 114 converts this generation data 601 to graph structured linking information 303 and stores it in the linking information holding unit 111 .

[0070] FIG. 6B is a diagram showing the linking information 303 obtained by converting the generation data 601 into a graph structure. In the graph structure of the linking information 303, a battery module 3032 is described as a child node related to a component of a battery system 3031. The child nodes related to the components of this battery module 3032 are a battery cell 3034 and a cooling system 3041. The child node related to the component of the cooling system 3041 is a refrigerant pipe 3042.

[0071] The processing performed when the "Create Failure Mode" button 202 is clicked will be described with reference to FIGS. 5, 7A, and 7B. The linking information generation unit 113 creates a prompt sentence by substituting "battery system" for {top_component} in prompt sentence 502 for "generation of failure mode" and substituting the names of each component for {component}. For {components}, the linking information 303 related to the component structure that has already been created is converted into JSON format using the data for generation conversion unit 114. Of this JSON format data, the character string "battery cell" indicating a child component is substituted. The linking information generation unit 113 inputs the created prompt sentence into the question and answer model 140. As a result, the question and answer model outputs generation data 701 shown in FIG. 7A.

[0072] FIG. 7A is a diagram showing generation data 701 in JSON format output by the question and answer model 140. The generation data 701 is in JSON format, and three child nodes representing battery cell failure modes, namely, overcurrent, short circuit, and high temperature operation, are listed. The value "battery cell" is set for the key "component_name" in the root node of the generation data 701. This node also has a number of child nodes set as an array for the key "failure_nodes".

[0073] In the first child node of the battery cell, the value "overcurrent" is set for the key "failure_mode_name", and the value "state in which a current greater than the rated current value flows through the battery cell" is set for the key "description".

[0074] The second child node of the battery cell has the "failure_mode_name" key set to the value "short circuit" and the "description" key set to the value "The battery cell connection is short circuited, causing current to flow through an unintended path."

[0075] The third child node of the battery cell has a "failure_mode_name" key with a value of "high temperature operation" and a "description" key with a value of "operated at temperatures exceeding the range defined by the specifications."

[0076] This generation data 701 is output to the generation data conversion unit 114. The generation data conversion unit 114 converts this generation data 701 into the graph structure shown in Fig. 7B.

[0077] FIG. 7B is a diagram showing an example of the linking information 303 obtained by converting the generation data 701 into a graph structure. The linking information 303 in Fig. 7B is obtained by converting the generation data 701 into a graph structure and updating the linking information 303 in Fig. 6B. In the example of Fig. 7B, information about a short circuit 3035, an overcurrent 3036, and a high temperature operation 3037 has been added and updated as child nodes that are failure modes of the battery cell 3034.

[0078] The processing performed when the "Create Influence" button 203 is clicked will also be described with reference to FIGS. 5, 8A, and 8B. When the user clicks the "Create Impact" button 203, the linked information generator 113 creates a prompt sentence by substituting the input information list for the prompt sentence 502 related to "Create Impact." Specifically, the linked information generator 113 substitutes "battery system" for {top_component}, a character string specifying the data format for {format_instructions}, the name of each part for {component}, the part configuration for {components}, and the name of the failure mode for {failure_modes}.

[0079] The linking information generation unit 113 inputs the prompt sentence created in this way to the question and answer model 140. The question and answer model 140 outputs generation data 801 based on the prompt sentence. The generation data conversion unit 114 converts this generation data 801 into linking information 303.

[0080] FIG. 8A is a diagram showing generation data 801 in JSON format output by the question and answer model 140. The root node of the generation data 801 has a "failure_mode_name" key with a value of "high temperature operation" and a "description" key with a value of "operated at temperatures exceeding the range defined in the specifications." This root node also has a single array of "fire due to thermal runaway" values ​​set for the "effects" key.

[0081] FIG. 8B is a diagram showing an example of linking information 303 added by converting generation data 801 into a graph structure. The linking information 303 in Fig. 8B is obtained by converting the generation data 801 into a graph structure and updating the linking information 303 in Fig. 7B. The linking information 303 in Fig. 8B has been updated by adding a "fire due to thermal runaway" node 3039 as a cause of high temperature operation 3037.

[0082] The linking information generating unit 113 may automatically generate the linking information 303 without using the consideration information entered in the consideration information input unit 103 .

[0083] Returning to FIG. 1, the explanation will be continued. The target item extraction unit 115 extracts one or more target items that are of particular interest based on the character string "design study related to fire prevention" written in the study information input unit 103, and extracts the requirements that these target items must satisfy. In this embodiment, the question and answer model 140 using a large-scale language model is used to extract the target items on the failure mode and effect analysis ontology 302 and the requirements that these target items must satisfy. Specific examples are shown in FIGS. 9A to 9C.

[0084] FIG. 9A is a diagram showing the failure mode and effect analysis ontology 302 in the association information storage unit 111. As shown in FIG. The failure mode and effect analysis ontology 302 describes the information items held in the link information 303 and the possible relationships between the items. In this embodiment, four types of items are held by the failure mode and effect analysis: part 3021, failure mode 3022, effect 3023, and cause 3024. A parent-child relationship between multiple parts 3021 can be described. A failure mode 3022 can be described linked to the part 3021. An effect 3023 and a cause 3024 can be described linked to the failure mode 3022. A causal relationship can also be set between the effect 3023 and the cause 3024.

[0085] As described above, in this embodiment, the failure mode and effect analysis ontology 302 describes components, failure modes, effects, causes, and the possible relationships between them. However, the failure mode and effect analysis ontology 302 is not limited to this, and it is sufficient that the failure mode and effect analysis ontology 302 is information that is handled regarding reliability. From the perspective of the consideration information in the consideration information input unit 103, the target item extraction unit 115 extracts the most noteworthy items from the failure mode and effect analysis ontology 302 among components, failure modes, effects, and causes, and sets them as target items 903.

[0086] FIG. 9B is a diagram showing prompt sentence 902. Prompt sentence 902 reads as follows: "You are an expert in equipment reliability analysis. Follow the instructions below to conduct a Failure Mode and Effect Analysis (FMEA) for the target {top_component} and provide your output. FMEA is a systematic method for identifying potential defects and failures in a target piece of equipment and evaluating their impact. The purpose of FMEA is to identify risks and consider measures to reduce or eliminate them. When the following information is considered as the purpose of conducting an FMEA, which FMEA items should be focused on? Also, what requirements should the target items meet? Consideration: {purpose_of_consideration} FMEA item candidate: {item_candidate} Output format: {format_instructions}"

[0087] The prompt sentence 902 can be substituted by input information, similar to the prompt sentence 502 stored in the prompt database for generating linking information 122. The target item extraction unit 115 substitutes "battery system" for {top_component} of the prompt sentence 902, "design consideration for fire prevention" for {purpose_of_consideration}, and "component, failure mode, effect, cause" for {item_candidate}, and inputs the results into the question and answer model 140 using a large-scale language model. Based on this prompt sentence, the question and answer model 140 outputs "impact" as the target item 903, as shown in Fig. 9C, and outputs "For each failure mode, a description of N or more fire-related impacts is provided" as requirement 904. This requirement 904 is information related to the consideration item obtained from the information on "impact."

[0088] FIG. 9C is a diagram showing target items 903 and requirements 904 of the JSON format data output by the target item extraction unit 115 using the question and answer model 140. The target item 903 shown in FIG. 9C is set to a value of "impact," and the requirement 904 is set to a value of "For each failure mode, a description of N or more fire-related impacts is provided."

[0089] The question and answer model 140 outputs a target item 903 and a requirement 904 from the study information of "design study related to fire prevention" in the study information input unit 103, the prompt sentence 902, and the failure mode and effect analysis ontology 302. The requirement 904 is a character string describing what requirement the target item 903 should satisfy in terms of the study information in the study information input unit 103. The study information statistics output unit 108 may use the target item 903 and the requirement 904 as criteria for calculating statistics.

[0090] 1 , the explanation will be continued. The linking information editing unit 116 edits the linking information 303 based on the consideration information from the consideration information input unit 103 so as to conform to the target items 903 and requirements 904 output by the target item extraction unit 115. The linking information editing unit 116 includes a first related information generation unit 117, an editing procedure database 118, a second related information generation unit 119, and a combination unit 120.

[0091] The first related information generating unit 117 generates specific content of the target item 903 related to the requirement 904. Specific examples are shown in Figures 10A to 10C.

[0092] FIG. 10A is a diagram showing target items 903 and requirements 904 of data in JSON format output by the target item extraction unit 115 using the question and answer model 140. The target item 903 shown in FIG. 10A is set to a value of "impact," and the requirement 904 is set to a value of "For each failure mode, a description of N or more fire-related impacts is provided."

[0093] FIG. 10B is a diagram showing an example of a prompt sentence 1001 used by the first related information generating unit 117. As shown in FIG. The prompt sentence 1001 is written as follows: "You are an expert in equipment reliability analysis. Follow the instructions below to conduct a Failure Mode and Effect Analysis (FMEA) for the target {top_component} and provide your output. FMEA is a systematic method for identifying potential defects and failures in a target piece of equipment and evaluating their impact. The purpose of FMEA is to identify risks and consider measures to reduce or eliminate them. When the following information is considered as the purpose of conducting an FMEA, please list and output multiple items for {item} that relate to the following requirements. Requirement: {requirement} Output format: {format_instructions}"

[0094] The first related information generation unit 117 substitutes the requirement 904, "For each failure mode, N or more fire-related impacts are described," for {requirement} of the prompt sentence 1001, and substitutes the target item 903, "impact," for {item}, and inputs the result to the question-and-answer model 140 using a large-scale language model. The question-and-answer model 140 outputs the first related information 1002 shown in FIG. 10C .

[0095] FIG. 10C is a diagram showing first related information 1002 obtained by first related information generating unit 117. As shown in FIG. The first related information 1002 includes "fire, explosion, and arc occurrence due to thermal runaway." The first related information 1002 is the result of a "design study on fire prevention" entered in the study information input section 103 regarding the "impact" of the target item.

[0096] FIG. 11 is a diagram showing the editing procedure database 118. The editing procedure database 118 stores target items 1101, editing procedures 1102 to be performed by the second related information generation unit 119 or the combination unit 120 for the target items 1101, and prompt statements 1103 for each procedure. The editing procedure database 118 describes the procedure for editing the linking information 303 for each target item 903. The linking information editing unit 116 sequentially executes the editing procedures 1102 for the target items 1101 that match the target items 903. The editing procedure database 118 may also include information on functions to be called and arguments to be input.

[0097] The editing procedure database 118 stores the operation procedures of the second related information generation unit 119 and the operation procedures of the combination unit 120 after the first related information generation unit 117 acquires the first related information 1002. The second related information generation unit 119 generates other items in the related failure mode and effect analysis ontology 302 based on the first related information 1002 generated by the first related information generation unit 117. The combination unit 120 integrates the first related information 1002, the second related information 1302, and the linking information 303 to create new linking information 303.

[0098] An example of the editing procedure when the target item 903 is "impact" is as follows. The combination unit 120 follows procedure #1 of "impact" of the target item 1101 of the editing procedure database 118 to identify the failure mode stored in the linking information storage unit 111 that causes the impact of the first related information 1002. The second related information generation unit 119 outputs the failure mode that causes the effect of the first related information 1002 on the target part according to procedure #2 of the "effect" of the target item 1101 to the editing procedure database 118, and generates the second related information 1302. The combining unit 120 generates combined information by combining the second related information 1302 with the linked information 303 edited in step #1 according to step #3 of the "impact" of the target item 1101 of the editing procedure database 118.

[0099] These procedures may be manually designed in advance, or may be automatically created from a conventional reliability information creation procedure or information in the failure mode and effect analysis ontology 302.

[0100] Step 1 The operation of step #1 when the target item 903 is "impact" will be described with reference to FIGS. 12A to 12C. FIG. 12A is a diagram illustrating the linking information 303 related to procedure #1. The linking information 303 in FIG. 12A is written in a table format, and is configured to include a component column, a failure mode column, and an effect column.

[0101] 12B is a diagram illustrating a prompt sentence 1201 for procedure #1. This prompt sentence 1201 is the prompt sentence 1103 for procedure #1 of the “impact” of the target item 1101 in the editing procedure database 118.

[0102] Here, editing is performed using the combination unit 120. The combination unit 120 creates a prompt sentence by substituting information obtained by converting the information of the first related information 1002 and the linking information 303 by the generation data conversion unit 114 into a prompt sentence 1201.

[0103] Note that although the linking information 303 is described in table form in Fig. 12C, it is equivalent to the graph structure described in Fig. 3. The combination unit 120 generates a prompt sentence by substituting the first related information 1002 for {effects_from_requirement} of the prompt sentence 1201, and substituting the linking information 303 converted by the generation data conversion unit 114 for {FMEA_data}. The combination unit 120 then inputs the generated prompt sentence into the question and answer model 140 to obtain updated linking information 1202.

[0104] The JSON format data output by the question and answer model 140 is converted by the generation data conversion unit 114 into linking information 1202, which has the same data format as the linking information 303. Here, as shown in the consideration information flag field 1204, a consideration information flag is linked to the output related to the consideration information of the consideration information input unit 103, and the flag is stored as property information.

[0105] FIG. 12C is a diagram illustrating the linking information 1202 related to procedure #1. The linking information 1202 in FIG. 12C is written in a table format, and is configured to include a component column, a failure mode column, an effect column, and a consideration information flag column 1204.

[0106] Here, by inputting the first related information 1002 as an effect related to the fire, the effect of "arc occurrence" is newly output for the failure mode "short circuit." In addition, effects originally included in the linked information 303 that are related to the consideration information in the consideration information input unit 103 are also assigned a consideration information flag.

[0107] Step 2 Next, the operation of the second related information generation unit 119 in procedure #2 will be described with reference to FIGS. 13A and 13B.

[0108] FIG. 13A shows a prompt statement 1301 for step #2. The prompt sentence 1301 is written as follows: "If the following are considered to be the effects of the FMEA of {component} in {top_component}, please output the failure modes that cause them. {effects_from_requirement} {format_instructions}"

[0109] The second related information generating unit 119 obtains second related information 1302 by inputting a prompt sentence 1301 into the question and answer model 140 based on the first related information 1002 and the target part name.

[0110] FIG. 13B is a diagram showing second related information 1302 related to procedure #2. The second related information 1302 is written in a table format and includes an effect column, a failure mode column, and a part column. The impact column lists “fire due to thermal runaway,” “explosion,” and “arc generation.” The impact corresponds to “fire, explosion, or arc generation due to thermal runaway” listed in first related information 1002.

[0111] The failure mode column lists "overcurrent," "high temperature operation," and "short circuit," which correspond to the effects of "fire due to thermal runaway," "flammable gas release," which corresponds to the effects of "explosion," and "short circuit" and "poor terminal connection," which correspond to the effects of "arc generation." "Battery cells" are listed as components that correspond to these failure modes: "overcurrent," "high temperature operation," "short circuit," "flammable gas release," "short circuit," and "poor terminal connection."

[0112] Specifically, when "fire, explosion, or arc generation due to thermal runaway" is input as first related information 1002, second related information generation unit 119 outputs possible failure modes of the target component, the battery cell, as second related information 1302.

[0113] Step 3 The operation of the combination unit 120 in procedure #3 will be described with reference to FIGS. 14A and 14B.

[0114] FIG. 14A shows a prompt sentence 1401 for step #3. The prompt sentence 1401 is written as follows: "Please output the FMEA for {component} in {top_component} by integrating the information from the following two FMEAs, and output the effects related to {effect_from_requirement} in a way that makes it clear. {FMEA_data_#1} {FMEA_data_#2}"

[0115] The combination unit 120 receives as input the linking information 1202 updated in step #1 converted by the data for generation converter 114, the first related information 1002, and the second related information 1302, and replaces the prompt sentence 1401. The combination unit 120 then inputs the generated prompt sentence to the question and answer model 140 to obtain JSON format data. The combination unit 120 outputs the JSON format data generated by the question and answer model 140 to the data for generation converter 114. The data for generation converter 114 combines the linking information with the JSON format data output by the combination unit 120 to generate combination information 1402 and stores it in the linking information storage unit 111.

[0116] FIG. 14B is a diagram showing combination information 1402 generated in procedure #3. The combination information 1402 includes a component column, a failure mode column, an effect column, and a review information flag column. The component column lists the battery cells, whose failure modes include overcurrent, overcharge, overdischarge, high temperature, low temperature, short circuit, release of flammable gas, and terminal connection failure.

[0117] The effect of overcurrent is listed as "fire due to thermal runaway" and its statistical information flag is set to 1. The effect of overcharge is listed as "deterioration due to electrolyte electrolysis" and its statistical information flag is not set. The effect of over-discharge is listed as "early deterioration due to lithium deposition" and its statistical information flag is not set. The effect of high temperature is listed as "fire due to thermal runaway" and its statistical information flag is 1.

[0118] The low temperature effects include "premature degradation due to lithium deposition" and their statistical flag is not set. The short circuit effects include "fire due to thermal runaway" and "arc generation" and their statistical flag is set to 1. The effect of flammable gas release is listed as "explosion" and its statistical information flag is 1. The effect of terminal connection failure is listed as "arc generation" and its statistical information flag is 1.

[0119] FIG. 15 is a flowchart of the processing of this embodiment. First, the user determines whether or not there is reliability information data in the external server 130 (step S10). If there is no reliability information data in the external server 130 (No), the process proceeds to step S12. If there is reliability information data in the external server 130 (Yes), the user clicks the download button 107 to download it (step S11), and the process proceeds to step S12.

[0120] Thereafter, the user inputs information into the product name input section 104 and the consideration information input section 103 in the input / output section 101 (step S12). Then, the target item extraction section 115 extracts target items 903 of interest and their requirements 904 in accordance with the input into the consideration information input section 103 (step S13).

[0121] The user instructs the necessary automatic processing by clicking any button in the automatic creation instruction unit 105 (step S14). As a result, the linking information generation unit 113 creates linking information 303 and stores it in the linking information storage unit 111 (step S15). It is determined whether the target item of the automatic processing specified by the user matches the target item 903 extracted by the target item extraction unit 115 (step S16).

[0122] If the target item for automatic processing differs from the target item 903 extracted by the target item extraction unit 115 (No), the process proceeds to step S18. If the target item for automatic processing matches the target item 903 extracted by the target item extraction unit 115 (Yes), the linking information editing unit 116 updates the linking information taking into account the consideration information in the consideration information input unit 103 (step S17). For example, if the target item 903 is "impact" and the "generate impact" button 203 is clicked, the process of the linking information editing unit 116 is carried out.

[0123] The first related information generation unit 117 generates first related information 1002, which is a description of a target item related to the consideration information. The second related information generation unit 119 identifies other items other than the target item based on the first related information 1002, and generates second related information 1302 that associates the identified other items with the first related information 1002. The combination unit 120 combines the second related information 1302 with the linked information 303 in the linked information storage unit 111. Here, the combination unit 120 combines the second related information 1302 with the linked information 303 in the linked information storage unit 111, and the linked information editing unit 116 generates combined information.

[0124] The linking information 303 edited by the linking information generation unit 113 and the linking information editing unit 116 is displayed in the failure mode effect analysis display editing unit 106 (step S18). That is, the combination information obtained by combining the second related information 1302 with the linking information 303 is displayed in the failure mode effect analysis display editing unit 106. In addition, when the display data conversion unit 112 outputs the study information statistics, the study information statistics output unit 108 outputs them. The user manually edits the user's information, and updates the linking information 303 in the linking information storage unit 111 accordingly (step S19). Then, the failure mode and effect analysis creation support unit 102 determines whether or not any implementation content remains in the automatic creation instruction unit 105 (step S20). If the automatic creation instruction unit 105 has remaining implementation details, the process returns to S14, and the automatic creation is performed again. If the automatic creation instruction unit 105 has completed all implementation details, the process proceeds to step S20, and the save processing unit 121 saves the linking information 303 in the failure mode and effect analysis database 110.

[0125] FIG. 16 is a block diagram of the information processing device 100. As shown in FIG. The information processing device 100 includes a CPU (Central Processing Unit) 91, a ROM (Read Only Memory) 92, and a RAM (Random Access Memory) 93. The CPU 91 executes a program (not shown) to realize the functions of the information processing device 100. The ROM 92 is a non-volatile memory and stores, for example, a BIOS (Basic I / O System). The RAM 93 is a volatile memory and stores data temporarily held by the program executed by the CPU 91.

[0126] The information processing device 100 further includes a storage unit 94 , a display unit 95 , an input unit 96 , and a communication interface 97 , which are interconnected by a bus 98 . The storage unit 94 is a large-capacity storage unit such as a hard disk or SSD (Solid State Drive), and stores programs, data, and the like.

[0127] The display unit 95 is, for example, a liquid crystal display, and displays characters, figures, images, etc. The display unit 95 may be detachable. The input unit 96 is, for example, a transparent touch panel superimposed on the liquid crystal display, and accepts user input operations. The communication interface 97 communicates with, for example, a cloud server. The communication interface 97 may support any communication format, such as a wired NIC (Network Interface Card), a wireless NIC, or a fifth-generation communication module. This completes the description of the embodiment.

[0128] [1] a review information input unit (103) for inputting product review information; a target item extraction unit (115) that extracts, based on the examination information, one or more of the parts that constitute the product, the events that occur in the parts, the causes of the events, and the effects of the events as target items, and extracts requirements that the target items must satisfy; a linking information storage unit (111) that stores linking information that links any two or more items including the target item among the component, the event, the cause, and the effect; a linking information editing unit (116) that generates first related information, which is a description of the target item, based on the target item and the requirements, identifies other items other than the target item based on the first related information (1002), generates second related information (1302) that associates the identified other items with the first related information (1002), and generates combined information that combines the second related information (1302) with the linking information; an output unit (failure mode and effect analysis display and editing unit 106) that outputs the combination information generated by the linkage information editing unit (116); An information processing device (100) comprising:

[0129] This makes it possible to improve the comprehensiveness of reliability information.

[0130] [2] The linking information editing unit (116) includes a first related information generating unit (117) that generates first related information (1002) that is a description of the target item based on the target item and the requirements. 2. The information processing device (100) according to claim 1.

[0131] This makes it possible to generate first related information that describes the target item and includes synonyms of the considered information.

[0132] [3] The linked information editing unit (116) includes a second related information generating unit (119) that identifies other items than the target item based on the first related information (1002) and generates second related information (1302) that associates the identified other items with the first related information (1002). 3. The information processing device (100) according to claim 2.

[0133] This makes it possible to generate second related information that associates the identified other items with first related information that is related to the consideration information.

[0134] [4] The linking information editing unit (116) includes a combination unit (120) that generates combination information by combining the second related information (1302) with the linking information. 4. The information processing device (100) according to claim 3.

[0135] This allows the second related information to be linked to the linking information, making it possible to comprehensively grasp the relationship between the review information and each item related to it.

[0136] [5] The system further includes a linking information generation unit (113) that generates linking information without using the review information, The linking information storage unit (111) stores the linking information generated by the linking information generation unit (113). 2. The information processing device (100) according to claim 1.

[0137] This allows comprehensive generation of linking information, and therefore comprehensive generation of combination information based on this linking information.

[0138] [6] further comprising an editing procedure database (118) that records the operation procedure of the linking information editing unit (116); 2. The information processing device (100) according to claim 1.

[0139] This makes it possible to appropriately edit the linking information and generate combination information.

[0140] [7] The operation procedure of the linking information editing unit (116) also records the relationship between the target item. 7. The information processing device (100) according to claim 6.

[0141] This makes it possible to easily develop a method for combining the linking information, the first related information, and the second related information to generate combined information.

[0142] [8] The linked information editing unit (116) assigns a consideration information flag to information related to the consideration information among the combination information. 2. The information processing device (100) according to claim 1.

[0143] This makes it possible to easily extract each piece of information related to the review information.

[0144] [9] a review information statistics output unit (108) that outputs statistics using the review information flag; 9. The information processing device (100) according to claim 8, further comprising:

[0145] This allows the user to easily visually recognize the statistics of information related to the considered information.

[0146]

[10] The target item extraction unit (115) uses the study information to extract, as target items, effects of events occurring in parts that constitute the product, and extracts requirements that the target items must satisfy. 2. The information processing device (100) according to claim 1.

[0147] This allows the user to easily understand the requirements that will be affected by the study items.

[0148]

[11] A step in which a consideration information input unit (103) receives input of product consideration information; a step in which a target item extraction unit (115) extracts, based on the examination information, one or more of the parts constituting the product, the events occurring in the parts, the causes of the events, and the effects of the events as target items, and extracts requirements that the target items must satisfy; A step in which a linking information holding unit (111) holds linking information that links any two or more of the component, the event, the cause, and the effect, including the target item; A step in which a linking information editing unit (116) generates first related information, which is a description of the target item, based on the target item and the requirements; a step in which the linked information editing unit (116) identifies other items other than the target item based on the first linked information (1002) and generates second linked information (1302) that associates the identified other items with the first linked information (1002); a step in which the linked information editing unit (116) generates combined information by combining the second related information (1302) with the linked information; an output unit (failure mode and effect analysis display editing unit 106) outputting the combination information generated by the linking information editing unit (116); An information processing method comprising:

[0149] This makes it possible to improve the comprehensiveness of reliability information.

[0150] (Variation) The present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those including all of the described configurations. It is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is also possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

[0151] The above-described configurations, functions, processing units, processing means, etc. may be realized in part or in whole by hardware such as an integrated circuit. The above-described configurations, functions, etc. may be realized by software by a processor interpreting and executing a program that realizes each function. Information such as the programs, tables, and files that realize each function can be stored in a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), or on a storage medium such as a flash memory card or a DVD (Digital Versatile Disk).

[0152] In each embodiment, the control lines and information lines shown are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it can be considered that almost all components are interconnected. As modified examples of the present invention, for example, the following (a) to (c) are available.

[0153] (a) The generation data is not limited to being output using a question-and-answer model that uses a large-scale language model, but may be output using, for example, rule-based natural language processing. (b) The target item extraction unit may select, as the target item, any one or more of a part, an event occurring in a part, a cause of an event, and an effect of the occurrence of an event, and is not limited thereto. (c) The linking information storage unit is not limited to any particular type, as long as it stores linking information that links two or more items, including the target items extracted by the target item extraction unit, among the components, events, causes, and effects. [Explanation of symbols]

[0154] 100 Information processing device 101 Input / output section 102 Failure Mode and Effect Analysis Creation Support Department 103 Study information input section 104 Product name input section 105 Automatic Creation Instructions 106 Failure Mode and Effects Analysis Display Editorial Department 107 Download button 108 Study information statistics output unit 109 Save button 110 Failure Mode and Effects Analysis Database 111 Linking information storage unit 112 Display data conversion unit 113 Linking information generation unit 114 Generative Data Conversion Unit 115 Target Item Extraction Unit 116 Linking Information Editorial Department 117 First related information generation unit 118 Editing Procedure Database 119 Second related information generation unit 120 Combination section 140 Question and Answer Model

Claims

1. a consideration information input section for inputting product consideration information; a target item extraction unit that extracts, based on the review information, one or more of the components that constitute the product, events that occur in the components, causes of the events, and effects of the events as target items, and extracts requirements that the target items must satisfy; a linking information storage unit that stores linking information that links any two or more items, including the target item, among the component, the event, the cause, and the effect; a linking information editing unit that generates first related information, which is a description of the target item, based on the target item and the requirements, identifies other items other than the target item based on the first related information, generates second related information that associates the identified other items with the first related information, and generates combined information that combines the second related information with the linking information; an output unit that outputs the combination information generated by the linking information editing unit; An information processing device comprising:

2. the linking information editing unit includes a first related information generating unit that generates first related information, which is a description of the target item, based on the target item and the requirement; 2. The information processing apparatus according to claim 1, wherein:

3. the linked information editing unit includes a second related information generating unit that identifies an item other than the target item based on the first related information and generates second related information that associates the identified item with the first related information; 3. The information processing apparatus according to claim 2, wherein:

4. the linking information editing unit includes a combination unit that generates combination information by combining the second related information with the linking information; 4. The information processing apparatus according to claim 3,

5. a linking information generating unit that generates linking information without using the review information; The linking information storage unit stores the linking information generated by the linking information generation unit.

2. The information processing apparatus according to claim 1, wherein:

6. Further provided is an editing procedure database in which the operation procedure of the linking information editing unit is recorded.

2. The information processing apparatus according to claim 1, wherein:

7. The operation procedure of the linking information editing unit also records the relationship between the target item.

7. The information processing apparatus according to claim 6,

8. the linked information editing unit assigns a consideration information flag to information related to the consideration information among the combination information; 2. The information processing apparatus according to claim 1, wherein:

9. a consideration information statistics output unit that outputs statistics using the consideration information flag; 9. The information processing apparatus according to claim 8, further comprising:

10. the target item extraction unit uses the study information to extract, as target items, effects of events occurring in components that constitute the product, and extracts requirements that the target items must satisfy; 2. The information processing apparatus according to claim 1, wherein:

11. a step in which a consideration information input unit receives input of product consideration information; a step in which a target item extraction unit extracts, based on the review information, one or more of the components constituting the product, the events occurring in the components, the causes of the events, and the effects of the events as target items, and extracts requirements that the target items must satisfy; a step in which a linking information holding unit holds linking information linking any two or more of the component, the event, the cause, and the effect, including the target item; a step in which a linking information editing unit generates first related information, which is a description of the target item, based on the target item and the requirements; a step in which the linked information editing unit identifies other items other than the target item based on the first related information, and generates second related information that associates the identified other items with the first related information; generating combination information by combining the second related information with the linking information by the linking information editing unit; an output unit outputting the combination information generated by the linking information editing unit; An information processing method comprising:

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