Patent specification creation support system, patent specification creation support method, and patent specification creation support program

Abstract

To provide a patent specification creation support system, a patent specification creation support method, and a patent specification creation support program capable of efficiently supporting creation of a patent specification including a description about a structure.SOLUTION: The data acquisition unit 11 acquires target image data from the input device 31. The object image data is data of an image showing the shape of the object. The sentence creation control unit 12 inputs the target image data acquired by the data acquisition unit 11 to the artificial intelligence unit 20 to create an explanatory sentence for explaining the target object. Further, the text creation control unit 12 causes the display device 32 to display the created explanatory text.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a patent specification drafting support system, a patent specification drafting support method, a patent specification drafting support program, and a recording medium. [Background technology]

[0002] In a conventional drawing caption generation device, a caption for a drawing is generated based on pattern information and drawing information. The pattern information is made up of a pattern of drawing information representing an element of the drawing and a pattern of a caption corresponding to this pattern. The drawing information is information on the drawing that is the basis for generating the caption (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 3337763 Summary of the Invention [Problem to be solved by the invention]

[0004] In the conventional drawing caption generating device described above, it is necessary to input a lot of complicated information to generate a caption, and it is time-consuming to create and input the information. Since input is required, the drawings for which explanatory text can be created are limited to flowcharts.

[0005] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a patent specification writing support system, a patent specification writing support method, a patent specification writing support program, and a recording medium that can efficiently support the writing of patent specifications that include descriptions regarding structure. [Means for solving the problem]

[0006] The patent specification writing support system of the present disclosure comprises a data acquisition unit that acquires target image data, which is image data showing the shape of an object, and a text creation control unit that creates an explanatory text explaining the object by inputting the target image data acquired by the data acquisition unit into an artificial intelligence unit.The text creation control unit outputs images of multiple drawings contained in multiple documents related to the object by inputting the target image data acquired by the data acquisition unit into the artificial intelligence unit, and creates an explanatory text by inputting the target image data acquired by the data acquisition unit and selected drawing information, which is information about a drawing selected from the multiple drawings, into the artificial intelligence unit. In addition, the patent specification writing system according to the present disclosure includes a data acquisition unit that acquires target image data, which is image data showing the shape of an object, and a text creation control unit that creates explanatory text explaining the object by inputting the target image data acquired by the data acquisition unit into an artificial intelligence unit. The data acquisition unit further acquires modified image data, which is image data showing the shape of a modified version of the object, and the text creation control unit creates explanatory text by inputting the target image data and modified image data acquired by the data acquisition unit into the artificial intelligence unit. In addition, the patent specification writing system according to the present disclosure includes a data acquisition unit that acquires target image data, which is image data showing the shape of an object; a text creation control unit that creates explanatory text explaining the object by inputting the target image data acquired by the data acquisition unit into an artificial intelligence unit; and a company document data storage unit that stores multiple company document data, each of which is data on the company's technical documents. The data acquisition unit further acquires field-specific information that identifies the technical field of the object within the company, and the text creation control unit inputs the target image data and field-specific information acquired by the data acquisition unit into the artificial intelligence unit, causing the artificial intelligence unit to acquire company document data corresponding to the technical field from the multiple company document data, and creates explanatory text. [Effects of the Invention]

[0007] According to the present disclosure, it is possible to efficiently support the drafting of patent specifications that include descriptions relating to structures. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram showing a patent specification drafting support system according to a first embodiment. [Figure 2] 10 is a flowchart showing an explanatory text creation process performed by the information processing device of FIG. [Figure 3] 2 is an explanatory diagram showing an example of target image data acquired by a data acquisition unit in FIG. 1; FIG. [Figure 4] FIG. 10 is an explanatory diagram showing an example of target image data acquired by a data acquisition unit according to the second embodiment. [Figure 5] 13 is a flowchart showing an explanatory text creation process performed by an information processing device according to a fifth embodiment. [Figure 6] 13 is a flowchart showing an explanatory text creation process performed by an information processing device according to a sixth embodiment. [Figure 7] 13 shows an example of modified image data acquired by the data acquisition unit according to the ninth embodiment. [Figure 8] FIG. 20 is a block diagram showing a patent specification drafting support system according to embodiment 10. [Figure 9] FIG. 20 is a block diagram showing a patent specification drafting support system according to an eleventh embodiment. [Figure 10] FIG. 22 is a block diagram showing a patent specification drafting support system according to embodiment 12. [Figure 11] FIG. 2 is a configuration diagram showing a first example of a processing circuit that realizes each function of the information processing device and the artificial intelligence unit according to the first to twelfth embodiments. [Figure 12] FIG. 2 is a configuration diagram showing a second example of a processing circuit that realizes each function of the information processing device and the artificial intelligence unit according to the first to twelfth embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments will be described with reference to the drawings. Embodiment 1 1 is a block diagram showing a patent specification drafting support system according to embodiment 1. In the figure, the patent specification drafting support system includes an information processing device 10, an artificial intelligence unit 20, an input device 31, and a display device 32.

[0010] The information processing device 10 has a data acquisition unit 11 and a text creation control unit 12 as functional blocks.

[0011] The data acquisition unit 11 acquires target image data from the input device 31. The target image data is image data showing the shape of a target object. Examples of the target object include an indoor unit of an air conditioner, an outdoor unit of an air conditioner, a refrigerator, a rice cooker, a vacuum cleaner, and elevator equipment.

[0012] The target object may be the entire product or an internal part included in the product. For example, if the product is an indoor or outdoor unit of an air conditioner, examples of the internal part include an air passage forming member, a blower fan, a compressor, a circuit board, etc.

[0013] The shape of the object may be, for example, an outer shape, a cross-sectional shape, or a combination thereof. The object image data may be, for example, drawing data, photograph data, drawing data, or a combination thereof.

[0014] Furthermore, the data acquiring unit 11 acquires name information from the input device 31. The name information is information about the name of the object.

[0015] Furthermore, the data acquisition unit 11 can inquire of the input device 31 about the presence or absence of additional target image data and the presence or absence of additional information.

[0016] The text creation control unit 12 creates explanatory text to explain the object by inputting the target image data and name information acquired by the data acquisition unit 11 into the artificial intelligence unit 20. The explanatory text includes text to explain the configuration, shape, etc. of the object. The text creation control unit 12 also displays the created explanatory text on the display device 32.

[0017] The information processing device 10 may be a personal computer, a mobile terminal, or the like.

[0018] The input device 31 is a device that inputs target image data and other information to the information processing device 10. The input device 31 can be a personal computer, an image scanner, or the like that is either shared with the information processing device 10 or is independent of it. The user inputs target image data and name information using the input device 31.

[0019] The artificial intelligence unit 20 is provided, for example, in a server independent from the information processing device 10. The information processing device 10 and the artificial intelligence unit 20 are capable of communicating with each other.

[0020] The artificial intelligence unit 20 has, as functional blocks, a trained model storage unit 21 and a model control unit 22. The trained model storage unit 21 stores a trained model that receives target image data and information sent from the information processing device 10 as input and outputs explanatory text.

[0021] The model control unit 22 inputs the target image data and name information input by the information processing device 10 to the trained model stored in the trained model storage unit 21. The model control unit 22 also sends data of the explanatory text output from the trained model to the information processing device 10.

[0022] The trained model may be a model trained by machine learning, for example, by supervised learning, reinforcement learning, or unsupervised learning.

[0023] Furthermore, the trained model may be a model obtained by performing learning according to, for example, deep learning, genetic programming, functional logic programming, or other known algorithms or methods.

[0024] Specifically, the trained model may be a model called a Neural Network (NN) model, a Convolutional Neural Network (CNN) model, a Recurrent Neural Network (RNN), a Variational Autoencoder (VAE), a Generative Adversarial Network (GAN), a Diffusion Model, a Transformer model, a Large Language Model (LLM), a Visual Language Model (VLM), a Bidirectional Encoder Representations from Transformers (BERT), a Generative Pre-trained Transformer (GPT), or a Contrastive Language Image Pre-training (CLIP).

[0025] The above-mentioned models are not exclusive, and for example, LLM, VLM, BERT, and GPT are included in the Transformer model. Also, for example, the Transformer model is included in the NN model.

[0026] Furthermore, multiple types of learning algorithms and models may be combined. Trained models also include models called multimodal models that are trained by combining multiple different types of data.

[0027] Fig. 2 is a flowchart showing an explanatory text creation process by the information processing device 10 in Fig. 1. When the explanatory text creation process starts, the information processing device 10 acquires target image data in step S101. At this time, the information processing device 10 also acquires name information.

[0028] Next, in step S102, the information processing device 10 inputs the target image data and name information to the artificial intelligence unit 20. Then, in step S103, the information processing device 10 acquires and saves the output from the artificial intelligence unit 20.

[0029] Thereafter, in step S104, the information processing device 10 displays the explanatory text on the display device 32, and ends the process.

[0030] The user can create a patent specification using the explanatory text stored in the information processing device 10.

[0031] Below, specific examples of information input to the artificial intelligence unit 20 and output from the artificial intelligence unit 20 will be explained.

[0032] 3 is an explanatory diagram showing an example of target image data acquired by the data acquisition unit 11 of FIG. 1. In this example, the target image data is image data showing the shape of an elevator hoist, which is the target object. In this example, the name of the target object, "elevator hoist," is input to the artificial intelligence unit 20 as name information.

[0033] In this case, the artificial intelligence unit 20 outputs, for example, the following explanatory text:

[0034] "An elevator hoisting machine comprises a base, a motor, a rotating shaft, a shaft support base, a drive sheave, and a brake. The motor and the shaft support base are supported on the base. The rotating shaft is supported by the motor and the shaft support base. The drive sheave is fixed to the rotating shaft. The motor rotates the rotating shaft and the drive sheave. The brake brakes the rotation of the drive sheave. Multiple ropes are wound around the drive sheave."

[0035] The patent specification drafting support method of the first embodiment includes a basic data acquisition step, a basic data input step, a sentence creation step, and a display step.

[0036] The basic data acquisition step is a step of acquiring image data showing the shape of an object. In the basic data acquisition step in embodiment 1, name information is also acquired. The basic data input step is a step of inputting the object image data and name information acquired in the basic data acquisition step into the artificial intelligence unit 20.

[0037] The sentence creation step is a step in which the artificial intelligence unit 20 creates explanatory sentences to explain the object using the target image data and name information as input. The display step is a step in which the display device 32 displays the explanatory sentences.

[0038] In such a patent specification drafting support system and method, object image data, which is image data showing the shape of an object, is input to the artificial intelligence unit 20, and explanatory text is output. This makes it possible to efficiently support the drafting of patent specifications that include descriptions regarding structure.

[0039] Furthermore, the text creation control unit 12 creates explanatory text by inputting name information in addition to the target image data to the artificial intelligence unit 20. This allows for smooth creation of more accurate explanatory text.

[0040] The patent specification drafting support program of the first embodiment is a program that causes a computer to execute the patent specification drafting support method described above.

[0041] The recording medium of the first embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the first embodiment.

[0042] In the first embodiment, the target image data and name information are input to the artificial intelligence unit 20, but in this and the following embodiments, the acquisition and input of the name information may be omitted.

[0043] In addition, the text creation control unit 12 may input the target image data into the artificial intelligence unit 20 to create image data in which at least one symbol is assigned to the target object, and create an explanatory text using at least one symbol.

[0044] Embodiment 2 Next, a description will be given of a patent specification drafting support system according to embodiment 2. The configuration of the patent specification drafting support system according to embodiment 2 is the same as that shown in Fig. 1. The basic flow of the explanatory text drafting process according to embodiment 2 is the same as that shown in Fig. 2.

[0045] 4 is an explanatory diagram showing an example of target image data acquired by the data acquisition unit 11 of embodiment 2. The data acquisition unit 11 of embodiment 2 acquires, as the target image data, drawing data in which at least one symbol is assigned to the shape of the target object.

[0046] In this case, the artificial intelligence unit 20 outputs, for example, the following explanatory text:

[0047] "The elevator hoisting machine includes a base 11, a motor 12, a rotating shaft 13, a shaft support base 14, a drive sheave 15, a brake 16, a blower 17, and a rod 18. The motor 12 and the shaft support base 14 are supported on the base 11. The rotating shaft 13 is supported by the motor 12 and the shaft support base 14. The drive sheave 15 is fixed to the rotating shaft 13. The motor 12 rotates the rotating shaft 13 and the drive sheave 15. The brake 16 brakes the rotation of the drive sheave 15. The rod 18 protrudes from the motor 12 toward the brake 16. A plurality of ropes 19 are wound around the drive sheave 15."

[0048] The basic data acquisition step of the second embodiment is a step of acquiring drawing data in which at least one symbol is assigned to the shape of an object.

[0049] Other configurations and methods in the second embodiment are the same as those in the first embodiment.

[0050] Such a patent specification drafting support system and method can more efficiently support the drafting of patent specifications, and also enable the smooth drafting of more accurate explanatory text.

[0051] The patent specification drafting support program of the second embodiment is a program that causes a computer to execute the patent specification drafting support method of the second embodiment.

[0052] The recording medium of the second embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the second embodiment.

[0053] Embodiment 3 Next, a description will be given of a patent specification drafting support system according to embodiment 3. The configuration of the patent specification drafting support system according to embodiment 3 is the same as that shown in Fig. 1. The basic flow of the explanatory text drafting process according to embodiment 3 is the same as that shown in Fig. 2.

[0054] The data acquisition unit 11 of the third embodiment acquires, in addition to the target image data and name information, code explanation information from the input device 31. The code explanation information is explanatory information corresponding to at least one code included in the target image data. The user inputs the code explanation information using the input device 31.

[0055] The text creation control unit 12 creates explanatory text by inputting the target image data, name information, and symbol explanation information acquired by the data acquisition unit 11 into the artificial intelligence unit 20.

[0056] The code explanation information is, for example, the following information.

[0057] "11: Base, 12: Motor, 13: Rotating shaft, 14: Shaft support, 15: Drive sheave, 16: Brake, 17: Exhaust fan, 18: Rope stopper, 19: Main rope"

[0058] In this case, the artificial intelligence unit 20 outputs, for example, the following explanatory text:

[0059] "The elevator hoist includes a base 11, a motor 12, a rotating shaft 13, a shaft support base 14, a drive sheave 15, a brake 16, an exhaust fan 17, and a rope stopper 18. The motor 12 and the shaft support base 14 are supported on the base 11. The rotating shaft 13 is supported by the motor 12 and the shaft support base 14. The drive sheave 15 is fixed to the rotating shaft 13. The motor 12 rotates the rotating shaft 13 and the drive sheave 15. The brake 16 brakes the rotation of the drive sheave 15. Multiple main ropes 19 are wound around the drive sheave 15. The rope stopper 18 protrudes from the motor 12 toward the brake 16 and prevents the main rope 19 from coming off the drive sheave 15."

[0060] In the basic data acquisition step of the third embodiment, in addition to the target image data and name information, symbol explanation information is acquired. Also, in the basic data input step, in addition to the target image data and name information, symbol explanation information is input to the artificial intelligence unit 20. Also, in the sentence creation step, explanatory sentences are created using the target image data, name information, and symbol explanation information as inputs.

[0061] Other configurations and methods in the third embodiment are the same as those in the second embodiment.

[0062] Such a patent specification drafting support system and method can more efficiently support the drafting of patent specifications, and also enable the smooth drafting of more accurate explanatory text.

[0063] The patent specification drafting support program of the third embodiment is a program that causes a computer to execute the patent specification drafting support method of the third embodiment.

[0064] The recording medium of the third embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the third embodiment.

[0065] Embodiment 4 Next, a description will be given of a patent specification drafting support system according to embodiment 4. The configuration of the patent specification drafting support system according to embodiment 4 is the same as that shown in Fig. 1. The basic flow of the explanatory text drafting process according to embodiment 4 is the same as that shown in Fig. 2.

[0066] The data acquisition unit 11 of the fourth embodiment acquires related document information from the input device 31 in addition to the target image data and name information. The related document information is information on at least one document related to the target object. Examples of documents include patent documents related to the same product as the target object, reference documents selected by the user, etc. The user inputs the related document information using the input device 31.

[0067] The text creation control unit 12 creates explanatory text by inputting the target image data, name information, and related literature information acquired by the data acquisition unit 11 into the artificial intelligence unit 20.

[0068] If the document is a patent document, the related document information is, for example, a publication number. The artificial intelligence unit 20 refers to the contents of the patent document based on the input publication number.

[0069] Information on literature related to the target object is stored inside the artificial intelligence unit 20 or on an external server. In the latter case, the artificial intelligence unit 20 acquires the necessary literature data from the external server by communicating with the external server via a communication network.

[0070] In the basic data acquisition step of the fourth embodiment, in addition to the target image data and name information, Related literature information is acquired. In the basic data input step, the related literature information is input to the artificial intelligence unit 20 in addition to the target image data and name information. In the text creation step, explanatory text is created using the target image data, name information, and related literature information as input.

[0071] Other configurations and methods in the fourth embodiment are the same as those in the first embodiment.

[0072] Such a patent specification drafting support system and method can more efficiently support the drafting of patent specifications, and also enable the smooth drafting of more accurate explanatory text.

[0073] The patent specification drafting support program of the fourth embodiment is a program that causes a computer to execute the patent specification drafting support method of the fourth embodiment.

[0074] The recording medium of the fourth embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the fourth embodiment.

[0075] Embodiment 5. Next, a description will be given of a patent specification drafting support system according to embodiment 5. The configuration of the patent specification drafting support system according to embodiment 5 is the same as that shown in FIG.

[0076] The text creation control unit 12 of the fifth embodiment inputs the target image data acquired by the data acquisition unit 11 to the artificial intelligence unit 20, thereby outputting images of multiple drawings contained in multiple documents related to the target object and displaying them on the display device 32. The documents related to the target object are documents that include drawings similar to the image of the target object.

[0077] The user selects at least one drawing from among the multiple drawings that the user wishes to refer to when creating an explanatory text, and inputs the selected drawing information into the information processing device 10. That is, the information processing device 10 acquires the selected drawing information. The selected drawing information is information about which drawing has been selected from among the multiple drawings. The selected drawing information may be information that identifies the drawing itself, or information that identifies a document that includes an image of the drawing.

[0078] The text creation control unit 12 creates explanatory text by inputting the target image data and name information acquired by the data acquisition unit 11 and the selected drawing information to the artificial intelligence unit 20.

[0079] 5 is a flowchart showing an explanatory text creation process by the information processing device 10 according to the fifth embodiment. When the explanatory text creation process starts, the information processing device 10 acquires target image data in step S201. At this time, the information processing device 10 also acquires name information.

[0080] Next, in step S202, the information processing device 10 inputs the target image data and name information to the artificial intelligence unit 20. As a result, the artificial intelligence unit 20 outputs image data of a plurality of drawings to the information processing device 10.

[0081] In step S203, the information processing device 10 acquires image data of a plurality of drawings and displays them on the display device 32. Thereafter, in step S204, the information processing device 10 acquires selected drawing information. Then, in step S205, the information processing device 10 inputs the selected drawing information to the artificial intelligence unit 20.

[0082] Next, in step S206, the information processing device 10 acquires and stores the output from the artificial intelligence unit 20.

[0083] Thereafter, in step S207, the information processing device 10 displays the explanatory text on the display device 32, and ends the process.

[0084] The patent specification writing support method of embodiment 5 includes a basic data acquisition step, a basic data input step, a drawing image display step, a selected drawing information acquisition step, a selected drawing information input step, a text creation step, and a display step.

[0085] The basic data acquisition step and the basic data input step are the same as those in embodiment 1. The drawing image display step is a step of displaying images of a plurality of drawings contained in a plurality of documents related to the object.

[0086] The selected drawing information acquisition step is a step of acquiring selected drawing information input by the user. The selected drawing information input step is a step of inputting the selected drawing information to the artificial intelligence unit 20.

[0087] The sentence creation step is a step of creating explanatory sentences by inputting the target image data and name information acquired in the basic data acquisition step, as well as the selected drawing information, into the artificial intelligence unit 20. The display step is the same as in the first embodiment.

[0088] Other configurations and methods in the fifth embodiment are the same as those in the first embodiment.

[0089] According to such a patent specification drafting support system and method, it is possible to more efficiently support the drafting of a patent specification.

[0090] Furthermore, by simply selecting the drawing you wish to refer to from the multiple drawings presented, you can create explanatory text without having to enter detailed information on the names of parts, parts names, etc. Therefore, even if the object contains a large number of parts, parts, etc., or if the target image data contains many images, explanatory text can be easily created.

[0091] The patent specification drafting support program of the fifth embodiment is a program that causes a computer to execute the patent specification drafting support method of the fifth embodiment.

[0092] The recording medium of the fifth embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the fifth embodiment.

[0093] In addition, in the fifth embodiment, the same target image data as in the second embodiment may be used. In that case, similar to the third embodiment, code explanation information may be additionally used.

[0094] Furthermore, in the fifth embodiment, related document information may be additionally used, similarly to the fourth embodiment.

[0095] Embodiment 6 Next, a description will be given of a patent specification drafting support system according to embodiment 6. The configuration of the patent specification drafting support system according to embodiment 6 is the same as that shown in FIG.

[0096] The text creation control unit 12 of embodiment 6 inputs the target image data acquired by the data acquisition unit 11 into the artificial intelligence unit 20, outputs information on multiple documents related to the target, and displays it on the display device 32.

[0097] The user selects at least one document that the user wishes to refer to when creating an explanatory text from among the drawings in the multiple documents, and inputs the selected document information to the information processing device 10. That is, the information processing device 10 acquires the selected document information. The selected document information is information about which document has been selected from the multiple documents.

[0098] The text creation control unit 12 creates explanatory text by inputting the target image data and name information acquired by the data acquisition unit 11 and the selected document information to the artificial intelligence unit 20.

[0099] 6 is a flowchart showing an explanatory text creation process by the information processing device 10 according to the sixth embodiment. When the explanatory text creation process starts, the information processing device 10 acquires target image data in step S301. At this time, the information processing device 10 also acquires name information.

[0100] Next, in step S302, the information processing device 10 inputs the target image data and name information to the artificial intelligence unit 20. As a result, the artificial intelligence unit 20 outputs information on a plurality of documents to the information processing device 10.

[0101] In step S303, the information processing device 10 acquires information on a plurality of documents and displays it on the display device 32. Thereafter, in step S304, the information processing device 10 acquires selected document information. Then, in step S305, the information processing device 10 inputs the selected document information to the artificial intelligence unit 20.

[0102] Next, in step S306, the information processing device 10 acquires and stores the output from the artificial intelligence unit 20.

[0103] Thereafter, in step S307, the information processing device 10 displays the explanatory text on the display device 32, and ends the process.

[0104] The patent specification writing support method of embodiment 6 includes a basic data acquisition step, a basic data input step, a document display step, a selected document information acquisition step, a selected document information input step, a text creation step, and a display step.

[0105] The basic data acquisition step and the basic data input step are the same as those in embodiment 1. The literature display step is a step of displaying information on a plurality of literature related to the object.

[0106] The selected document information acquisition step is a step of acquiring selected document information input by a user. The selected document information input step is a step of inputting selected document information to the artificial intelligence unit 20.

[0107] The sentence creation step is a step of creating explanatory sentences by inputting the selected document information, in addition to the target image data and name information acquired in the basic data acquisition step, into the artificial intelligence unit 20. The display step is the same as in the first embodiment.

[0108] Other configurations and methods in the sixth embodiment are the same as those in the first embodiment.

[0109] According to such a patent specification drafting support system and method, it is possible to more efficiently support the drafting of a patent specification.

[0110] Furthermore, by simply selecting the document you wish to refer to from the multiple documents presented, you can create an explanatory text without having to enter detailed information on the names of parts, parts names, etc. Therefore, even if the object contains a large number of parts, parts, etc., or if the target image data contains many images, you can easily create an explanatory text.

[0111] Furthermore, in the fourth embodiment, the user prepares related document information in advance, but in the sixth embodiment, multiple documents are automatically presented, thereby reducing the effort required to select documents.

[0112] The patent specification drafting support program of the sixth embodiment is a program that causes a computer to execute the patent specification drafting support method of the sixth embodiment.

[0113] The recording medium of the sixth embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the sixth embodiment.

[0114] In the sixth embodiment, the same target image data as in the second embodiment may be used. In this case, similar to the third embodiment, code explanation information may be additionally used.

[0115] Furthermore, in the sixth embodiment, similarly to the fourth embodiment, related document information may be additionally used.

[0116] Embodiment 7 Next, a description will be given of a patent specification drafting support system according to embodiment 7. The configuration of the patent specification drafting support system according to embodiment 7 is the same as that shown in Fig. 1. The basic flow of the explanatory text drafting process according to embodiment 7 is the same as that shown in Fig. 2.

[0117] The data acquisition unit 11 of the seventh embodiment acquires simple explanatory information from the input device 31 in addition to the target image data and name information. The simple explanatory information is explanatory information about the target object, and is simpler than the explanatory text that is ultimately created by the text creation control unit 12. The user inputs the simple explanatory information using the input device 31.

[0118] The simple explanatory information includes, for example, an explanation of the characteristic features of the invention. For example, in the elevator hoisting machine shown in Fig. 4, if the installation of exhaust fan 17 is a characteristic, the simple explanatory information would include an explanation that exhaust fan 17 is a novel feature, that exhaust fan 17 exhausts air from inside motor 12 to cool motor 12, etc.

[0119] The text creation control unit 12 creates explanatory text by inputting the target image data, name information, and simple explanation information acquired by the data acquisition unit 11 to the artificial intelligence unit 20.

[0120] In the basic data acquisition step of the seventh embodiment, simple explanatory information is acquired in addition to the target image data and name information. Also, in the basic data input step, simple explanatory information is input to the artificial intelligence unit 20 in addition to the target image data and name information. Also, in the sentence creation step, explanatory sentences are created using the target image data, name information, and simple explanatory information as inputs.

[0121] Other configurations and methods in the seventh embodiment are the same as those in the first embodiment.

[0122] Such a patent specification drafting support system and method can more efficiently support the drafting of patent specifications, and also enable the smooth drafting of more accurate explanatory text.

[0123] The patent specification drafting support program of the seventh embodiment is a program that causes a computer to execute the patent specification drafting support method of the seventh embodiment.

[0124] The recording medium of the seventh embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the seventh embodiment.

[0125] In the second to sixth embodiments, simple explanation information may be used in the same way as in the seventh embodiment.

[0126] Embodiment 8 Next, a patent specification drafting support system according to embodiment 8 will be described. The configuration of the patent specification drafting support system according to embodiment 8 is the same as that shown in Fig. 1. The basic flow of the explanatory text drafting process according to embodiment 8 is the same as that shown in Fig. 2.

[0127] The data acquiring unit 11 of the eighth embodiment acquires, as the target image data, data of an image in which the shape of the target object is distinguished into a characteristic portion and other portions. Methods for distinguishing the characteristic portion include, for example, a method of making the characteristic portion a different color from other colors, a method of surrounding the characteristic portion with an encircling line, and the like.

[0128] Information on the method for distinguishing characteristic portions is either stored in advance in the artificial intelligence unit 20 or input to the artificial intelligence unit 20 together with the target image data.

[0129] Other configurations and methods in the eighth embodiment are the same as those in the first embodiment.

[0130] Such a patent specification drafting support system and method can more efficiently support the drafting of patent specifications, and also enable the smooth drafting of more accurate explanatory text.

[0131] Furthermore, the description of the characteristic parts can be made more detailed, and a claim draft can be prepared that clarifies the characteristic parts.

[0132] The patent specification drafting support program of the eighth embodiment is a program that causes a computer to execute the patent specification drafting support method of the eighth embodiment.

[0133] The recording medium of the eighth embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the eighth embodiment.

[0134] In the second to seventh embodiments, the same target image data as in the eighth embodiment may be used.

[0135] Embodiment 9 Next, a patent specification drafting support system according to embodiment 9 will be described. The configuration of the patent specification drafting support system according to embodiment 9 is the same as that shown in Fig. 1. The basic flow of the explanatory text drafting process according to embodiment 9 is the same as that shown in Fig. 2.

[0136] The data acquisition unit 11 of the ninth embodiment acquires, from the input device 31, the target image data, name information, and symbol explanation information, as well as modified image data. The modified image data is image data showing the shape of a modified version of the target object. The symbol explanation information also includes explanatory information corresponding to at least one symbol included in the modified image data. The user inputs the modified image data using the input device 31.

[0137] The text creation control unit 12 creates explanatory text by inputting the target image data, modified image data, name information, and symbol explanation information acquired by the data acquisition unit 11 into the artificial intelligence unit 20.

[0138] FIG. 7 is an explanatory diagram showing an example of modified image data acquired by the data acquisition unit 11 according to the ninth embodiment.

[0139] In this case, the following information may be added to the code explanation information:

[0140] "21: Rope stopper, 21a: Intake port"

[0141] As a result, the artificial intelligence unit 20 additionally outputs explanatory text regarding the modified example, for example, as follows:

[0142] "In this modified example, a suction port 21a is provided at the tip of the rope stopper 21. As a result, air near the brake 16 is sucked into the rope stopper 21 through the suction port 21a, passes through the rope stopper 21 and the motor 12, and is expelled outside the motor 12 by the exhaust fan 17."

[0143] In the basic data acquisition step of the ninth embodiment, target image data, modified image data, name information, and symbol explanation information are acquired. In addition, in the basic data input step, the target image data, modified image data, name information, and symbol explanation information are input to the artificial intelligence unit 20. In addition, in the sentence creation step, explanatory sentences are created using the target image data, modified image data, name information, and symbol explanation information as inputs.

[0144] Other configurations and methods in the ninth embodiment are the same as those in the third embodiment.

[0145] Such a patent specification drafting support system and method can more efficiently support the drafting of patent specifications, and also enable the smooth drafting of more accurate explanatory text.

[0146] Furthermore, an explanatory text can be created that notes elements that are commonly included in the target image data and the modified image data as characteristic portions.

[0147] In addition, it is possible to prepare dependent claims corresponding to the modifications.

[0148] The patent specification drafting support program of the ninth embodiment is a program that causes a computer to execute the patent specification drafting support method of the ninth embodiment.

[0149] The recording medium of the ninth embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the ninth embodiment.

[0150] In the first, second, and fourth to eighth embodiments, modified image data may be used, as in the ninth embodiment.

[0151] Embodiment 10 8 is a block diagram showing a patent specification drafting support system according to embodiment 10. The artificial intelligence unit 20 has, as functional blocks, a trained model storage unit 21, a model control unit 22, and an in-house document data storage unit 23.

[0152] The company's own document data storage unit 23 stores a plurality of company's own document data. Each of the plurality of company's own document data is data on the company's own technical documents. Examples of the company's own technical documents include the company's own patent documents, product catalogs, product manuals, specification templates created by the company, documents showing the correspondence between product model numbers and object names, documents showing the correspondence between development project names and object names, etc.

[0153] The data acquisition unit 11 of the tenth embodiment acquires field-specific information from the input device 31 in addition to the target image data. The field-specific information is information that identifies the technical field of the target object within the company. Examples of the field-specific information include name information, product model number information, and development project name information, similar to those in the first embodiment. The user inputs the field-specific information using the input device 31.

[0154] The text creation control unit 12 inputs the target image data and field-specific information acquired by the data acquisition unit 11 into the artificial intelligence unit 20, causing the artificial intelligence unit 20 to acquire company literature data corresponding to the technical field from multiple company literature data, and creates an explanatory text.

[0155] The basic data acquisition step of the tenth embodiment is a step of acquiring field-specific information in addition to the target image data. In addition, in the basic data input step, the field-specific information is input to the artificial intelligence unit 20 in addition to the target image data. In addition, in the text creation step, the artificial intelligence unit 20 creates explanatory text using the target image data and the company's literature data as input.

[0156] Other configurations and methods in the tenth embodiment are the same as those in the first embodiment.

[0157] Such a patent specification drafting support system and method can more efficiently support the drafting of patent specifications, and also enable the smooth drafting of more accurate explanatory text.

[0158] The patent specification drafting support program of the tenth embodiment is a program that causes a computer to execute the patent specification drafting support method of the tenth embodiment.

[0159] The recording medium of the tenth embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the tenth embodiment.

[0160] In the second to ninth embodiments, the company document data storage unit 23 and field-specific information may be used in the same manner as in the tenth embodiment.

[0161] The company's own literature data storage unit 23 may also be provided outside the artificial intelligence unit 20, for example, in the information processing device 10. The company's own literature data storage unit 23 may also be provided in a device independent of the artificial intelligence unit 20 and the information processing device 10.

[0162] Embodiment 11 9 is a block diagram showing a patent specification drafting support system according to embodiment 11. The artificial intelligence unit 20 has a learning unit 24 in addition to a trained model storage unit 21 and a model control unit 22 as functional blocks.

[0163] The data acquisition unit 11 of the tenth embodiment acquires user text data after the text creation control unit 12 displays the explanatory text on the display device 32. The user text data is data of a patent specification created by a user using the explanatory text. The user inputs the user text data into the information processing device 10.

[0164] The text creation control unit 12 inputs user text data to the artificial intelligence unit 20, causing the artificial intelligence unit 20 to perform additional learning. The learning unit 24 performs additional learning using the user text data as input, and reflects the results of the additional learning in the trained model.

[0165] The patent specification drafting support method of the tenth embodiment includes a basic data acquisition step, a basic data input step, a sentence creation step, and a display step, as well as a user sentence data acquisition step and an additional learning step.

[0166] The user text data acquisition step is a step of acquiring user-created text data. The additional learning step is a step of causing the artificial intelligence unit 20 to perform additional learning using the user text data acquired in the user text data acquisition step as training data.

[0167] Other configurations and methods in the eleventh embodiment are the same as those in the first embodiment. The basic flow of the explanatory text creation process in the eleventh embodiment is the same as that in FIG.

[0168] According to such a patent specification drafting support system and method, it is possible to more efficiently support the drafting of a patent specification.

[0169] Furthermore, since the artificial intelligence unit 20 performs additional learning using user text data as input, more accurate explanatory text can be created smoothly the next time the system is used.

[0170] The patent specification drafting support program of the eleventh embodiment is a program that causes a computer to execute the patent specification drafting support method of the eleventh embodiment.

[0171] The recording medium of the eleventh embodiment is a computer-readable recording medium having recorded thereon a patent specification drafting support program that causes a computer to execute the patent specification drafting support method of the eleventh embodiment.

[0172] The learning unit 24 may be provided outside the artificial intelligence unit 20, for example, in the information processing device 10. The learning unit 24 may also be provided in a learning device independent of the artificial intelligence unit 20 and the information processing device 10.

[0173] In addition, in the second to tenth embodiments, similarly to the eleventh embodiment, the artificial intelligence unit 20 may be made to perform additional learning.

[0174] Embodiment 12 10 is a block diagram showing a patent specification drafting support system according to embodiment 12. In embodiment 12, an artificial intelligence unit 20 is provided in an information processing device 10. A writing control unit 12 also functions as the model control unit 22 in embodiments 1 to 11.

[0175] Other configurations and methods in the twelfth embodiment are the same as those in the first embodiment.

[0176] In this way, the artificial intelligence unit 20 may be provided in the information processing device 10, and the same effects as those of the first embodiment can be obtained.

[0177] In the second to eleventh embodiments, the information processing device 10 may also be provided with the artificial intelligence unit 20.

[0178] In the first to eleventh embodiments, the text creation control unit 12 may create a text in accordance with the format of a patent application specification as the explanatory text. In this case, the explanatory text is provided with multiple headings and multiple paragraph numbers.

[0179] In the first to eleventh embodiments, the text creation control unit 12 may create, as the explanatory text, text that conforms to the format of claims in a patent application.

[0180] Furthermore, each function of the information processing device 10 and the artificial intelligence unit 20 according to the first to 12th embodiments is realized by a processing circuit. Fig. 11 is a configuration diagram showing a first example of a processing circuit that realizes each function of the information processing device 10 and the artificial intelligence unit 20 according to the first to 12th embodiments. The processing circuit 100 in the first example is dedicated hardware.

[0181] The processing circuit 100 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. Each function of the information processing device 10 and the artificial intelligence unit 20 may be realized by a separate processing circuit 100, or all functions may be realized by the processing circuit 100.

[0182] 12 is a configuration diagram showing a second example of a processing circuit that realizes each function of the information processing device 10 and the artificial intelligence unit 20 according to Embodiments 1 to 12. The processing circuit 200 of the second example includes a processor 201 and a memory 202.

[0183] The processor 201 may be, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, a microcontroller, or a digital signal processor (DSP).

[0184] In the processing circuit 200, each function of the information processing device 10 and the artificial intelligence unit 20 is realized by software, firmware, or a combination of software and firmware. The software and firmware are written as programs and stored in the memory 202. The processor 201 realizes each function by reading and executing the programs stored in the memory 202.

[0185] It can also be said that the programs stored in memory 202 cause the computer to execute the procedures or methods of the above-mentioned sections. Here, memory 202 refers to non-volatile or volatile semiconductor memory, such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Electrically Erasable and Programmable Read Only Memory). Magnetic disks, flexible disks, optical disks, compact disks, minidisks, DVDs, and the like also fall under memory 202.

[0186] It should be noted that some of the functions of the above-described units may be realized by dedicated hardware, and other parts may be realized by software or firmware.

[0187] In this way, the processing circuit can realize the functions of each of the above-mentioned units by hardware, software, firmware, or a combination of these.

[0188] The above describes in detail preferred embodiments, but the present invention is not limited to the above-described embodiments, and various modifications and substitutions can be made to the above-described embodiments without departing from the scope of the claims.

[0189] Various aspects of the present disclosure are summarized below as appendices.

[0190] (Appendix 1) a data acquisition unit that acquires target image data, which is data of an image showing the shape of the target; a text creation control unit that creates an explanatory text explaining the object by inputting the object image data acquired by the data acquisition unit into an artificial intelligence unit; A patent specification writing support system comprising: (Appendix 2) the data acquisition unit further acquires name information which is information on a name of the object; The patent specification writing support system described in Appendix 1, wherein the text creation control unit creates the explanatory text by inputting the target image data and name information acquired by the data acquisition unit into the artificial intelligence unit. (Appendix 3) A patent specification writing support system as described in Appendix 1 or Appendix 2, wherein the data acquisition unit acquires drawing data in which at least one symbol is assigned to the shape of the object as the target image data. (Appendix 4) The data acquisition unit further acquires code explanation information that is explanation information corresponding to the at least one code, The patent specification writing support system described in Appendix 3, wherein the text creation control unit creates the explanatory text by inputting the target image data and the symbol explanation information acquired by the data acquisition unit into the artificial intelligence unit. (Appendix 5) the data acquisition unit further acquires related literature information, which is information on literature related to the object; The patent specification writing support system described in any one of Appendix 1 to Appendix 4, wherein the text writing control unit creates the explanatory text by inputting the target image data and the related literature information acquired by the data acquisition unit into the artificial intelligence unit. (Appendix 6) The sentence creation control unit The target image data acquired by the data acquisition unit is input to the artificial intelligence unit, thereby outputting images of a plurality of drawings included in a plurality of documents related to the target object; A patent specification writing support system as described in any one of Appendix 1 to Appendix 5, which creates the explanatory text by inputting the target image data acquired by the data acquisition unit and selected drawing information, which is information about a drawing selected from the plurality of drawings, into the artificial intelligence unit. (Appendix 7) The sentence creation control unit The target image data acquired by the data acquisition unit is input to the artificial intelligence unit, and information on a plurality of documents related to the target object is output; A patent specification writing support system as described in any one of Appendix 1 to Appendix 5, which creates the explanatory text by inputting the target image data acquired by the data acquisition unit and selected document information, which is information about a document selected from the plurality of documents, into the artificial intelligence unit. (Appendix 8) the data acquisition unit further acquires simple explanation information that is information on the object that is simpler than the explanation text, The text creation control unit of the patent specification creation support system described in any one of Appendix 1 to Appendix 7 creates the explanatory text by inputting the target image data and the simple explanatory information acquired by the data acquisition unit into the artificial intelligence unit. (Appendix 9) A patent specification writing support system as described in any one of Appendix 1 to Appendix 8, wherein the data acquisition unit acquires, as the target image data, image data in which the shape of the target object is distinguished between characteristic parts and other parts. (Appendix 10) the data acquisition unit further acquires deformation image data, which is data of an image showing a shape of a deformation of the object; The text creation control unit of the patent specification creation support system described in any one of Appendix 1 to Appendix 9 creates the explanatory text by inputting the target image data and the modified image data acquired by the data acquisition unit into the artificial intelligence unit. (Appendix 11) a company literature data storage unit for storing a plurality of company literature data, each of which is data on the company's technical literature; Furthermore, The data acquisition unit further acquires field-specific information that identifies the technical field of the target object within the company; The text creation control unit inputs the target image data and the field specification information acquired by the data acquisition unit to the artificial intelligence unit, thereby causing the artificial intelligence unit to acquire company literature data corresponding to the technical field from the plurality of company literature data, and creates the explanatory text. A patent specification drafting support system according to any one of appendices 1 to 10. (Appendix 12) the data acquisition unit acquires user text data, which is data of a patent specification created by a user using the explanatory text; A patent specification writing support system described in any one of Appendix 1 to Appendix 11, wherein the writing control unit inputs the user writing data into the artificial intelligence unit, causing the artificial intelligence unit to perform additional learning. (Appendix 13) A patent specification writing support system described in any one of Appendix 1 to Appendix 12, in which the text writing control unit creates text as the explanatory text that conforms to the format of a specification in a patent application. (Appendix 14) A patent specification writing support system described in any one of Appendix 1 to Appendix 13, in which the text writing control unit creates text as the explanatory text that conforms to the format of the claims in a patent application. (Appendix 15) a basic data acquisition step of acquiring object image data, which is image data showing the shape of an object; a basic data input step of inputting the target image data acquired in the basic data acquisition step into an artificial intelligence unit; a sentence creation step of creating an explanatory sentence explaining the object by using the target image data as an input by the artificial intelligence unit; A patent specification preparation support method including: (Appendix 16) a user text data acquisition step of acquiring user text data, which is data of a patent specification created by a user using the description text; an additional learning step of causing the artificial intelligence unit to perform additional learning using the user sentence data acquired in the user sentence data acquisition step as training data; The patent specification drafting support method according to appendix 15, further comprising: (Appendix 17) A patent specification writing support program that causes a computer to execute the patent specification writing support method described in Appendix 15 or Appendix 16. (Appendix 18) A computer-readable recording medium having recorded thereon a patent specification writing support program that causes a computer to execute the patent specification writing support method described in Appendix 15 or Appendix 16. [Explanation of symbols]

[0191] 11 Data acquisition unit, 12 Text creation control unit, 20 Artificial intelligence unit, 23 Company literature data storage unit.

Claims

1. a data acquisition unit that acquires target image data, which is data of an image showing the shape of the target; a text creation control unit that creates an explanatory text explaining the object by inputting the object image data acquired by the data acquisition unit into an artificial intelligence unit; Equipped with The sentence creation control unit The target image data acquired by the data acquisition unit is input to the artificial intelligence unit, thereby outputting images of a plurality of drawings included in a plurality of documents related to the target object; A patent specification writing support system that creates the explanatory text by inputting the target image data acquired by the data acquisition unit and selected drawing information, which is information about a drawing selected from the plurality of drawings, into the artificial intelligence unit.

2. a data acquisition unit that acquires target image data, which is data of an image showing the shape of the target; a text creation control unit that creates an explanatory text explaining the object by inputting the object image data acquired by the data acquisition unit into an artificial intelligence unit; Equipped with the data acquisition unit further acquires deformation image data, which is data of an image showing a shape of a deformation of the object; The text creation control unit is a patent specification creation support system that creates the explanatory text by inputting the target image data and the modified image data acquired by the data acquisition unit into the artificial intelligence unit.

3. a data acquisition unit that acquires target image data, which is data of an image showing the shape of the target; a text creation control unit that creates an explanatory text explaining the object by inputting the object image data acquired by the data acquisition unit into an artificial intelligence unit; a company literature data storage unit for storing a plurality of company literature data, each of which is data on the company's technical literature; Equipped with The data acquisition unit further acquires field-specific information that identifies the technical field of the target object within the company; The text creation control unit inputs the target image data and the field specification information acquired by the data acquisition unit to the artificial intelligence unit, thereby causing the artificial intelligence unit to acquire company literature data corresponding to the technical field from the plurality of company literature data, and creates the explanatory text. Patent specification writing support system.

4. the data acquisition unit further acquires name information which is information on a name of the object; A patent specification writing support system as described in any one of claims 1 to 3, wherein the text creation control unit creates the explanatory text by inputting the target image data and name information acquired by the data acquisition unit into the artificial intelligence unit.

5. A patent specification writing support system as described in any one of claims 1 to 3, wherein the data acquisition unit acquires drawing data in which at least one symbol is assigned to the shape of the object as the target image data.

6. the data acquisition unit further acquires symbol explanation information, which is information of an explanation corresponding to the at least one symbol; The patent specification writing support system described in claim 5, wherein the text creation control unit creates the explanatory text by inputting the target image data and the symbol explanation information acquired by the data acquisition unit into the artificial intelligence unit.

7. The data acquisition unit is information on the object that is simpler than the explanatory text. Get more brief description information, The document creation control unit processes the target image data and the simple description acquired by the data acquisition unit.

4. The patent specification drafting support system according to claim 1, wherein the explanatory text is created by inputting information about the invention and the patent specification drafting process to the artificial intelligence unit.

8. the data acquisition unit acquires user text data, which is data of a patent specification created by a user using the explanatory text; A patent specification writing support system as described in any one of claims 1 to 3, wherein the writing control unit inputs the user writing data into the artificial intelligence unit, thereby causing the artificial intelligence unit to perform additional learning.

9. 4. The patent specification writing support system according to claim 1, wherein the text writing control unit creates text that conforms to the format of a patent application specification as the explanatory text.

10. 4. A patent specification writing support system according to claim 1, wherein the writing control unit creates, as the explanatory text, a text that conforms to the format of claims in a patent application.

Images