Intelligent question answering method, system and device for customized industrial equipment, equipment and medium

Abstract

The invention discloses an intelligent question answering method, system and device for customized industrial equipment, equipment and a medium. The method is executed by a knowledge base question and answer tool in an industrial equipment operation support system, and comprises the following steps: obtaining a question input by a user, and analyzing the question input by the user; determining at least one target document segment associated with the question input by the user according to the question analysis result and a pre-established index document; wherein the index document comprises document segments special for the customized industrial equipment; sending preset system cue words, application cue words and target document segments to an artificial intelligence model together, and obtaining a target answer fed back by the artificial intelligence model; and sending the target answer to the device side dialogue tool, so that the device side dialogue tool displays the target answer to the user. By adopting the technical scheme, effective answers can be provided for special questions of the customized industrial equipment, the after-sales response speed of the equipment is effectively improved, and the use experience of customers is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an intelligent question-answering method, system, device, equipment and medium for customizing industrial equipment. Background Art

[0002] Complex mechatronic equipment delivered to the discrete manufacturing industry is generally delivered as a single set. Due to the high degree of customization of its functions, there are almost no completely identical devices. After the equipment is delivered, there is a lack of sufficient functional testing. Due to factors such as the increasing use time of the equipment, inherent defects in the hardware or vulnerabilities in the software, the equipment will inevitably experience abnormalities or failures.

[0003] The customer's operators generally only have operational knowledge but lack maintenance knowledge. When the equipment malfunctions or fails, they often need to contact the developer's engineers for remote network troubleshooting or on-site fault diagnosis and repair. The response time to the fault is long, which affects the customer's user experience.

[0004] In the existing technology, it is generally only possible to answer questions about common general-purpose equipment through large AI (Artificial Intelligence) models. However, since all types of equipment delivered by the discrete manufacturing industry are customized according to customer needs and are small in number, there is a lack of sufficient historical usage data as a reference, and it is impossible to train large AI models for intelligent question answering. In other words, existing technology cannot solve the intelligent question and answer needs of customized complex mechatronic equipment. Summary of the invention

[0005] The present invention provides an intelligent question-and-answer method, system, device, equipment and medium for customized industrial equipment, which can provide effective answers to questions specific to customized industrial equipment, is suitable for complex industrial equipment delivered by the discrete manufacturing industry, and can effectively improve the after-sales response speed of the equipment and improve the customer experience.

[0006] According to one aspect of the present invention, there is provided an intelligent question-answering method for customizing industrial equipment, which is executed by a knowledge base question-answering tool in an industrial equipment operation support system, and comprises:

[0007] Obtaining a question input by a user and parsing the question input by the user;

[0008] Determine at least one target document segment associated with the user input question based on the question parsing result and the pre-established index document; wherein the index document includes a document segment specific to the customized industrial equipment;

[0009] Sending the preset system prompt words, application prompt words and the target document segment to the artificial intelligence model in the industrial equipment operation support system, and obtaining the target answer fed back by the artificial intelligence model;

[0010] The target answer is sent to a device-side dialogue tool in the industrial device operation support system, so that the device-side dialogue tool displays the target answer to the user.

[0011] According to one aspect of the present invention, an industrial equipment operation support system is provided, including an equipment-side dialogue tool, a knowledge base question-and-answer tool, and an artificial intelligence model; wherein:

[0012] The device-side dialogue tool is used to send the content input by the user to the knowledge base question and answer tool, and display the target answer fed back by the knowledge base question and answer tool to the user;

[0013] The knowledge base question-and-answer tool is used to execute the intelligent question-and-answer method for customizing industrial equipment described in any embodiment of the present invention;

[0014] The artificial intelligence model is used to perform large language processing based on system prompt words, application prompt words and target document segmentation sent by the knowledge base question and answer tool, and send the target answer generated after processing to the knowledge base question and answer tool.

[0015] According to another aspect of the present invention, there is provided an intelligent question-and-answer device for customizing industrial equipment, which is executed by a knowledge base question-and-answer tool in an industrial equipment operation support system, and includes:

[0016] An input question processing module, used to obtain user input questions and parse the user input questions;

[0017] A document segment acquisition module, used to determine at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document; wherein the index document includes a document segment specific to the customized industrial equipment;

[0018] An answer generation module is used to send the preset system prompt words, application prompt words and the target document segment to the artificial intelligence model in the industrial equipment operation support system, and obtain the target answer fed back by the artificial intelligence model;

[0019] The answer feedback module is used to send the target answer to the device-side dialogue tool in the industrial equipment operation support system, so that the device-side dialogue tool can display the target answer to the user.

[0020] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0021] at least one processor; and

[0022] a memory communicatively connected to the at least one processor; wherein,

[0023] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent question-and-answer method for customized industrial equipment described in any embodiment of the present invention.

[0024] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the intelligent question-answering method for customized industrial equipment described in any embodiment of the present invention when executed.

[0025] The technical solution of the embodiment of the present invention obtains the user input question and parses the user input question, determines at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document, sends the pre-set system prompt words, application prompt words and target document segment to the artificial intelligence model, and obtains the target answer fed back by the artificial intelligence model, and sends the target answer to the device-side dialogue tool so that the device-side dialogue tool can display the target answer to the user. It can provide effective answers to questions specific to customized industrial equipment, solves the problem that the existing artificial intelligence model cannot effectively answer relevant questions of customized equipment, is suitable for complex industrial equipment delivered by the discrete manufacturing industry, and can effectively improve the after-sales response speed of the equipment, improve the customer experience, and can also adapt to the problem of insufficient training of new operators caused by changes in customer operators. At the same time, it supports online updating of knowledge base content, can quickly deliver the latest and effective equipment operation and maintenance knowledge and skills, and continuously improve the accuracy and precision of intelligent question and answer.

[0026] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1is a flow chart of an intelligent question-answering method for customizing industrial equipment provided according to Embodiment 1 of the present invention;

[0029] Figure 2 is a structural diagram of an industrial equipment operation support system provided according to Embodiment 2 of the present invention;

[0030] Figure 3 is a schematic diagram of the structure of an intelligent question-answering device for customized industrial equipment provided according to Embodiment 3 of the present invention;

[0031] Figure 4 It is a structural schematic diagram of an electronic device for implementing the intelligent question-answering method for customized industrial equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] Embodiment 1

[0035] Figure 1 This is a flow chart of an intelligent question-and-answer method for customized industrial equipment provided in the first embodiment of the present invention. This embodiment is applicable to the case of providing intelligent question-and-answer for customized industrial equipment. The method can be executed by an intelligent question-and-answer device for customized industrial equipment. The intelligent question-and-answer device for customized industrial equipment can be implemented in the form of hardware and / or software, and can generally be configured in a knowledge base question-and-answer tool with data processing functions. The knowledge base question-and-answer tool can be configured in a cloud server. Figure 1 As shown, the method includes:

[0036] S110: Obtain the question input by the user and parse the question input by the user.

[0037] Optionally, intelligent question-and-answer support can be provided for customized industrial equipment through an industrial equipment operation support system, which may include a device-side dialogue tool, a knowledge base question-and-answer tool, and an artificial intelligence model. The knowledge base question-and-answer tool and the artificial intelligence model are deployed on a cloud server, and information interaction is achieved between the knowledge base question-and-answer tool and the artificial intelligence model through an API (Application Programming Interface). The device-side dialogue tool can be deployed on a computer on the customized industrial equipment side, run under a computer system, and access the cloud server through a public network or industrial Internet, and then interact with the knowledge base question-and-answer tool through an API.

[0038] Optionally, the customer's operator can initiate questions through the device-side dialogue tool, and the content input by the operator can include but is not limited to questions in text form, picture form, voice form, or a combination of text and picture form.

[0039] The question of obtaining user input may include any of the following:

[0040] When the content input by the user through the device-side dialogue tool is in text form, the content input by the user is used as a user input question; and

[0041] When the content input by the user through the device-side dialogue tool is in the form of pictures or voice, the content input by the user is sent to the artificial intelligence model, and the text content fed back after the artificial intelligence model recognizes or converts the content input by the user is used as the user input question.

[0042] Optionally, when the content input by the user includes pictures or voice, after receiving the content input by the user, the content input by the user can be sent to the artificial intelligence model. The artificial intelligence model can be a public large language model, so that the artificial intelligence model can recognize or convert the content input by the user, and feed it back to the knowledge base question and answer tool in the form of text description. After receiving the text description fed back by the artificial intelligence model, the text description returned by the artificial intelligence model is used as the user input question.

[0043] Optionally, parsing the question input by the user may include: obtaining keywords, abstracts, and question summaries based on the question input by the user.

[0044] S120: Determine at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document.

[0045] It is understandable that for customized industrial equipment, designers retain complete design documents, simulation data, etc. during the design and production process, and most of the problems of customized industrial equipment can be solved using these data.

[0046] Optionally, multiple knowledge bases are pre-loaded in the knowledge base question and answer tool, such as a device knowledge base, a maintenance knowledge base, etc. Each knowledge base includes a general folder and a private folder. The general folder stores general information related to the knowledge base subject. The general information has wide applicability and can be applied to any other relevant equipment, not limited to customized industrial equipment. The private folder stores information that is only applicable to customized industrial equipment for the knowledge base subject. For example, the private folder may include design documents and simulation data retained by designers during the design and production process, and may also include on-site maintenance information of a certain time.

[0047] Optionally, the information stored in the general folder or the dedicated folder is stored in the form of text documents, and each folder includes at least one text document.

[0048] Optionally, an index document can be established based on each knowledge base in the knowledge base question and answer tool. The index document includes multiple document segments and segment identifiers corresponding to each document segment. For example, the index document can store the segment identifiers and document segments in the form of two columns, the first column stores the segment identifiers, and the second column stores the document segments corresponding to each segment identifier.

[0049] Optionally, each row in the index document stores a unique document segment, and the document segment can be a single paragraph in the text document or a combination of multiple paragraphs with strong correlation.

[0050] It can be understood that the document segmentation in the index document includes paragraphs of each document in the general folder of each knowledge base, as well as paragraphs of each document in each proprietary folder. The advantage of this setting is that by searching the index document, it is possible to obtain information proprietary to customized industrial equipment, and also to obtain general information, thereby enabling a comprehensive analysis of customer issues. Answers with proprietary information added can be more targeted, thereby more accurately solving customer problems.

[0051] The index documents include document segments that are specific to customized industrial equipment.

[0052] The index document may include multiple segment identifiers and document segments corresponding to each segment identifier.

[0053] Wherein, determining at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document may include:

[0054] According to the question analysis result, determining at least one matching target segment identifier in the index document, and determining the document segment corresponding to each target segment as the target document segment;

[0055] Among them, segment markers are keywords, summaries or preset questions.

[0056] Optionally, the segment identifier may be a combination of two of the summary, keywords and preset questions, or may include the summary, keywords and preset questions at the same time.

[0057] Optionally, based on the question parsing results, the keywords, summaries and question summaries corresponding to the user's question can be determined. After obtaining the question parsing results, the question parsing results can be matched with the segment summaries in the index documents. The matching method can be: when the field in the segment identifier is the same as the field in the question parsing result, the segment identifier is determined as the target segment identifier; it can also be: calculating the similarity between the segment identifier and the question parsing result, and when the similarity is greater than a preset value, the segment identifier is determined as the target segment identifier, but it is not limited to the above matching method.

[0058] Optionally, index documents are generated or updated by an artificial intelligence model based on a knowledge base.

[0059] Optionally, the process of generating index documents by the artificial intelligence model may include: before the industrial equipment operation support system goes online, performing RAG (Retrieval-Augmented Generation) retrieval enhancement on each text document in each knowledge base to generate each segment identifier.

[0060] Optionally, performing RAG retrieval enhancement to generate segment identifiers may include: vectorizing each text document, summarizing the vectorized text document, extracting keywords, and / or generating question-answer pairs.

[0061] Optionally, generating question-answer pairs may refer to generating question-answer pairs that match the document segmentation based on the vectorized document segmentation, wherein the question in the question-answer pair is generated by the artificial intelligence model based on the summary of the document segmentation, and the answer is the document segmentation.

[0062] Optionally, after the knowledge base is updated, the artificial intelligence model can also be called to update the index documents according to the updated knowledge base.

[0063] Specifically, after the knowledge base is updated, the updated text document can be determined in the knowledge base, and the artificial intelligence model can be called to perform RAG retrieval enhancement on the updated text document, determine the segment identifiers of each segment in the updated text document, and update the index document.

[0064] Optionally, when the knowledge base needs to be updated, a new knowledge base can be created, the updated content can be updated in the new knowledge base, and then the artificial intelligence model can be called to perform RAG retrieval enhancement on the new knowledge base, thereby reducing repeated RAG processes and eliminating the need to make extensive changes to index documents.

[0065] S130, sending the preset system prompt words, application prompt words and target document segments to the artificial intelligence model in the industrial equipment operation support system, and obtaining the target answer fed back by the artificial intelligence model.

[0066] Optionally, system prompt words can be used to inform the artificial intelligence model of key information such as the overall background, goals, and rules of the current task, guiding the model to understand the big picture of the entire task. For example, system prompt words can be used to instruct the artificial intelligence model to play a role so that the artificial intelligence model can summarize the answer in that context.

[0067] Optionally, application prompts can be used to provide more targeted guidance to the model based on specific application scenarios, question types, or specific devices. For example, they can be used to explain to the artificial intelligence model the need to summarize answers and organize language based on target document segmentation.

[0068] Optionally, the target answer may include content such as text or images in the target document segment.

[0069] S140. Send the target answer to the device-side dialogue tool in the industrial equipment operation support system, so that the device-side dialogue tool can display the target answer to the user.

[0070] Optionally, the device-side dialogue tool may be configured in the device operating software, or may be called when the device operating software is started.

[0071] The technical solution of the embodiment of the present invention obtains the user input question and parses the user input question, determines at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document, sends the pre-set system prompt words, application prompt words and target document segment to the artificial intelligence model, and obtains the target answer fed back by the artificial intelligence model, and sends the target answer to the device-side dialogue tool so that the device-side dialogue tool can display the target answer to the user. It can provide effective answers to questions specific to customized industrial equipment, solves the problem that the existing artificial intelligence model cannot effectively answer relevant questions of customized equipment, is suitable for complex industrial equipment delivered by the discrete manufacturing industry, and can effectively improve the after-sales response speed of the equipment, improve the customer experience, and can also adapt to the problem of insufficient training of new operators caused by changes in customer operators. At the same time, it supports online updating of knowledge base content, can quickly deliver the latest and effective equipment operation and maintenance knowledge and skills, and continuously improve the accuracy and precision of intelligent question and answer.

[0072] Embodiment 2

[0073] Figure 2 This is a schematic diagram of the structure of an industrial equipment operation support system provided by Embodiment 2 of the present invention. Figure 2 As shown, the industrial equipment operation support system includes: an equipment-side dialogue tool 210, a knowledge base question and answer tool 220, and an artificial intelligence model 230.

[0074] The device-side dialogue tool 210 is used to send the content input by the user to the knowledge base question and answer tool, and display the target answer fed back by the knowledge base question and answer tool to the user.

[0075] The knowledge base question and answer tool 220 is used to execute the intelligent question and answer method for customizing industrial equipment described in the embodiment of the present invention.

[0076] The artificial intelligence model 230 is used to perform large language processing based on the system prompt words, application prompt words and target document segmentation sent by the knowledge base question and answer tool, and send the target answer generated after processing to the knowledge base question and answer tool.

[0077] Optionally, the device-side dialogue tool 210 can run together with the device operating software in a computer system, such as a Windows system. The device-side dialogue tool 210 can be a component in the device operating software, responding to user click operations and providing a question-and-answer box. It can also run independently in a computer system and be directly called when the device operating software is started.

[0078] Optionally, the device-side dialogue tool 210 provides a question input box and a question and answer display box. The question input box supports users to input text, images, voice and other multi-format content.

[0079] The knowledge base question and answer tool 220 stores a plurality of knowledge bases, each of which includes a general folder and a specific folder, and each folder includes at least one text document.

[0080] Optionally, the artificial intelligence model 230 can be specifically used to: perform language reorganization or reasoning on the target document segment according to the system prompt words, application prompt words and target document segment sent by the knowledge base question and answer tool.

[0081] Among them, the artificial intelligence model 230 can also be used for:

[0082] Performing vectorization processing on the target text document, and generating segment identifiers corresponding to each document segment in the target text document according to the vectorized target text document;

[0083] Update the index document according to the corresponding segment identifiers and document segments.

[0084] Optionally, when the index document is generated for the first time, the target text document is all the documents in the knowledge base. If some text documents in the knowledge base are updated and the index document has been created, the target text document is the updated text document that generates the update behavior in the knowledge base.

[0085] Among them, the knowledge base question and answer tool 220 and the artificial intelligence model 230 are deployed on the cloud server, and the knowledge base question and answer tool 220 and the artificial intelligence model 230 interact with each other through the API; the device-side dialogue tool 210 runs on the computer system on the customized industrial equipment side, and the device-side dialogue tool 210 is connected to the cloud server where the knowledge base question and answer tool 220 is located through the public network or the industrial Internet, and interacts with the knowledge base question and answer tool through the API.

[0086] Optionally, the public network may be a wired network or a wireless local area network.

[0087] The technical solution of the embodiment of the present invention can provide effective answers to questions specific to customized industrial equipment by configuring device-side dialogue tools, knowledge base question-and-answer tools, and artificial intelligence models in the industrial equipment operation support system. It is suitable for complex industrial equipment delivered by the discrete manufacturing industry, and can effectively improve the after-sales response speed of the equipment and improve the customer experience.

[0088] Embodiment 3

[0089] Figure 3This is a schematic diagram of the structure of an intelligent question-answering device for customized industrial equipment provided in Embodiment 3 of the present invention. Figure 3 As shown, the device includes: an input question processing module 310, a document segmentation acquisition module 320, an answer generation module 330 and an answer feedback module 340.

[0090] The input question processing module 310 is used to obtain the user input question and parse the user input question.

[0091] The document segment acquisition module 320 is used to determine at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document; wherein the index document includes a document segment specific to the customized industrial equipment.

[0092] The answer generation module 330 is used to send the preset system prompt words, application prompt words and the target document segment to the artificial intelligence model in the industrial equipment operation support system, and obtain the target answer fed back by the artificial intelligence model.

[0093] The answer feedback module 340 is used to send the target answer to the device-side dialogue tool in the industrial equipment operation support system, so that the device-side dialogue tool can display the target answer to the user.

[0094] The technical solution of the embodiment of the present invention obtains the user input question and parses the user input question, determines at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document, sends the pre-set system prompt words, application prompt words and target document segment to the artificial intelligence model, and obtains the target answer fed back by the artificial intelligence model, and sends the target answer to the device-side dialogue tool so that the device-side dialogue tool can display the target answer to the user. It can provide effective answers to questions specific to customized industrial equipment, solves the problem that the existing artificial intelligence model cannot effectively answer relevant questions of customized equipment, is suitable for complex industrial equipment delivered by the discrete manufacturing industry, and can effectively improve the after-sales response speed of the equipment, improve the customer experience, and can also adapt to the problem of insufficient training of new operators caused by changes in customer operators. At the same time, it supports online updating of knowledge base content, can quickly deliver the latest and effective equipment operation and maintenance knowledge and skills, and continuously improve the accuracy and precision of intelligent question and answer.

[0095] Based on the above embodiments, the input question processing module 310 can be used to perform any of the following:

[0096] When the content input by the user through the device-side dialogue tool is in text form, the content input by the user is used as a user input question; and

[0097] When the content input by the user through the device-side dialogue tool is in the form of pictures or voice, the content input by the user is sent to the artificial intelligence model, and the text content fed back after the artificial intelligence model recognizes or converts the content input by the user is used as the user input question.

[0098] Based on the above embodiments, the index document includes a plurality of segment identifiers and document segments corresponding to the segment identifiers;

[0099] The document segment acquisition module 320 may be specifically used for:

[0100] According to the question analysis result, determining at least one matching target segment identifier in the index document, and determining the document segment corresponding to each target segment as the target document segment;

[0101] The segment identifier is a keyword, a summary or a preset question.

[0102] The intelligent question-and-answer device for customized industrial equipment provided in an embodiment of the present invention can execute the intelligent question-and-answer method for customized industrial equipment provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0103] Embodiment 4

[0104] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0105] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0106] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0107] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as the intelligent question-answering method for customized industrial equipment as described in an embodiment of the present invention. That is:

[0108] Obtaining a question input by a user and parsing the question input by the user;

[0109] Determine at least one target document segment associated with the user input question based on the question parsing result and the pre-established index document; wherein the index document includes a document segment specific to the customized industrial equipment;

[0110] Sending the preset system prompt words, application prompt words and the target document segment to the artificial intelligence model in the industrial equipment operation support system, and obtaining the target answer fed back by the artificial intelligence model;

[0111] The target answer is sent to a device-side dialogue tool in the industrial device operation support system, so that the device-side dialogue tool displays the target answer to the user.

[0112] In some embodiments, the intelligent question-answering method for customizing industrial equipment may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the intelligent question-answering method for customizing industrial equipment described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the intelligent question-answering method for customizing industrial equipment in any other appropriate manner (e.g., by means of firmware).

[0113] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0115] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0116] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0117] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0118] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0119] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0120] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent question-answering method for customizing industrial equipment, executed by a knowledge base question-answering tool in an industrial equipment operation support system, characterized in that: include: Obtaining a question input by a user and parsing the question input by the user; Determine at least one target document segment associated with the user input question based on the question parsing result and the pre-established index document; wherein the index document includes a document segment specific to the customized industrial equipment; Sending the preset system prompt words, application prompt words and the target document segment to the artificial intelligence model in the industrial equipment operation support system, and obtaining the target answer fed back by the artificial intelligence model; The target answer is sent to a device-side dialogue tool in the industrial device operation support system, so that the device-side dialogue tool displays the target answer to the user.

2. The method according to claim 1, characterized in that Get user input questions, including any of the following: When the content input by the user through the device-side dialogue tool is in text form, the content input by the user is used as a user input question; as well as When the content input by the user through the device-side dialogue tool is in the form of pictures or voice, the content input by the user is sent to the artificial intelligence model, and the text content fed back after the artificial intelligence model recognizes or converts the content input by the user is used as the user input question.

3. The method according to claim 1, characterized in that The index document includes a plurality of segment identifiers and document segments corresponding to each segment identifier; Determining at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document, including: According to the question analysis result, determining at least one matching target segment identifier in the index document, and determining the document segment corresponding to each target segment as the target document segment; The segment identifier is a keyword, a summary or a preset question.

4. An industrial equipment operation support system, characterized in that: It includes device-side dialogue tools, knowledge base question-and-answer tools, and artificial intelligence models; among them, The device-side dialogue tool is used to send the content input by the user to the knowledge base question and answer tool, and display the target answer fed back by the knowledge base question and answer tool to the user; The knowledge base question-answering tool is used to execute the intelligent question-answering method for customized industrial equipment described in any one of claims 1 to 3; The artificial intelligence model is used to perform large language processing based on system prompt words, application prompt words and target document segmentation sent by the knowledge base question and answer tool, and send the target answer generated after processing to the knowledge base question and answer tool.

5. The system according to claim 4, characterized in that The knowledge base question and answer tool stores a plurality of knowledge bases, each of which includes a general folder and a specific folder, and each folder includes at least one text document.

6. The system according to claim 5, characterized in that The artificial intelligence model is also used to: Performing vectorization processing on the target text document, and generating segment identifiers corresponding to each document segment in the target text document according to the vectorized target text document; Update the index document according to the corresponding segment identifiers and document segments.

7. The system according to claim 4, characterized in that The knowledge base question and answer tool and the artificial intelligence model are deployed on a cloud server, and the knowledge base question and answer tool and the artificial intelligence model interact with each other through an application programming interface (API); The device-side dialogue tool runs on the computer system on the customized industrial equipment side. The device-side dialogue tool is connected to the cloud server where the knowledge base question and answer tool is located through the public network or industrial Internet, and interacts with the knowledge base question and answer tool through the API for data exchange.

8. An intelligent question-and-answer device for customized industrial equipment, executed by a knowledge base question-and-answer tool in an industrial equipment operation support system, characterized in that: include: An input question processing module, used to obtain user input questions and parse the user input questions; A document segment acquisition module, used to determine at least one target document segment associated with the user input question according to the question parsing result and the pre-established index document; wherein the index document includes a document segment specific to the customized industrial equipment; An answer generation module is used to send the preset system prompt words, application prompt words and the target document segment to the artificial intelligence model in the industrial equipment operation support system, and obtain the target answer fed back by the artificial intelligence model; The answer feedback module is used to send the target answer to the device-side dialogue tool in the industrial equipment operation support system, so that the device-side dialogue tool can display the target answer to the user.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent question-answering method for customized industrial equipment according to any one of claims 1 to 3.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the intelligent question-answering method for customized industrial equipment according to any one of claims 1 to 3 when executed.

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