Full-text retrieval method and system for interactive electronic technical manual of marine equipment

Abstract

The present invention discloses a full-text retrieval method and system for an interactive electronic technical manual of ship equipment, which relates to the technical field of ship equipment technical manual retrieval. The system obtains and organizes ship equipment information from multiple sources, extracts association relationships and constructs knowledge graphs, so that users can clearly understand the association relationships between devices and provide guidance for the maintenance and management of equipment. The equipment adaptation evaluation module helps users quickly find replacement equipment and classifies them according to the adaptation index. The user behavior analysis and multimodal preference level judgment module take into account the personalized needs of users and provide users with a customized service experience. The maintenance evaluation module provides maintenance solutions based on the equipment status, which improves the reliability and stability of the equipment. Finally, the result matching and sending module sends the results of the comprehensive analysis to the user end, so that users can obtain the required information in a timely manner, improving user satisfaction and usage efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of ship equipment technical manual retrieval, and in particular to a full-text retrieval method and system for an interactive electronic technical manual of ship equipment. Background Art

[0002] In today's increasingly complex and competitive marine equipment field, a good technical manual is not only a guide for operation, but also a key support for ship operation and maintenance. Although existing technologies provide users with a basic framework for equipment information, there are still a series of challenges that need to be urgently addressed.

[0003] With the diversification of ship equipment types and sizes, users' demand for information is becoming increasingly diversified and personalized. However, existing technologies often fail to effectively understand and meet users' personalized needs, lacking targeted information recommendations and customized services. For example, when users consult about the maintenance of ship equipment, they will think about later repairs and replacement of similar products, and some users have different acceptance of text and video technical explanations, which makes it difficult for users to find specific information, reducing the efficiency and accuracy of information retrieval. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a full-text search method and system for an interactive electronic technical manual of ship equipment, which solves the problems mentioned in the background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A full-text retrieval method for interactive electronic technical manuals of ship equipment, comprising:

[0008] Use crawling technology to crawl different types of ship equipment information from public databases. The ship equipment information includes the functions, technical parameters and operation instructions of the equipment to establish a ship technology database. After preprocessing the ship technology database, use natural language processing technology to perform entity recognition on the ship equipment information in the ship technology database and extract the association relationship between the equipment to build an equipment association index. Gl , the device association index Gl Above or equal to the association threshold Q The devices are classified into one category and several associated groups are obtained;

[0009] Represent several association groups in the form of a graph, construct a ship equipment knowledge graph, identify the nodes and edges between the equipment in each association group, and add association indexes above the edges Gland collect the adaptation values ​​of the associated devices and the number of replaceable device models from the public database to construct an adaptation index Sp , the adaptation index Sp Higher than or equal to the adaptation threshold X For the device, add a first replaceable device tag;

[0010] When the user extracts a query request, the user's ship equipment usage instructions are sent to collect the query user request information and the actual usage information of the user's ship equipment, and a query data set is established. Through semantic analysis technology, the first query word is identified and obtained, and the user's historical search records and query preferences are collected to build a user behavior index. Xw ; Analyze the query data set, obtain the user's ship equipment maintenance and fault handling records, and build a maintenance index Wx , and according to the maintenance index Wx After the evaluation, the appropriate search scheme is matched according to the evaluation results. In obtaining the appropriate search scheme, the user behavior index Xw Make a judgment, obtain the judgment result, and according to the multimodal preference level of the judgment result, uniformly process the text, voice or video data and send it to the user end.

[0011] Preferably, target databases are selected, including ship equipment manufacturer websites, technical forums, industry association websites, and public databases, including PubMed and IEEE's equivalent function Xplore;

[0012] Select Scrapy, Beautiful Soup and Selenium tools, analyze the structure and content of the target website, and formulate a crawling strategy, including determining the target page to be crawled, the frequency of crawling and the depth of crawling; determine the crawled ship keywords, tags and URL patterns, and locate the target information of ship equipment; write the crawling code, crawl the link request of ship equipment information, process the response of the ship equipment information page, extract the detailed information of the ship equipment, return the results, save them in the folder of each ship equipment, and establish a ship technology database.

[0013] Preferably, the raw data in the ship technical database is cleaned, deduplicated and formatted for pre-processing;

[0014] Using natural language processing technology, perform entity recognition and relationship extraction on the pre-processed data to identify entities in ship equipment information, including equipment names and technical parameters; extract the relationship between equipment, including functional relationship, control relationship, safety relationship, environmental protection relationship and auxiliary equipment relationship;

[0015] Based on the extracted associations and the statistical analysis method of the associations, the device association index is generated by the following formula: Gl :

[0016] ;

[0017] in, Indicates the device and equipment The weight of the relationship between them is determined based on the strength, frequency and importance of the relationship, and is adjusted by the user. Indicates the device and equipment The correlation index between variables The index or number of the device is used to represent the iteration in the calculation of the association relationship weight between the devices. The variable k is used to cyclically calculate the contribution of each device to the association index. Indicates the number of devices.

[0018] Preferably, set the correlation threshold Q , and will traverse the association index between devices Gl , the correlation index Gl Above or equal to the association threshold Q The equipment is classified into the same category, and the association groups include ship function association group, ship control association group, ship function association group, ship safety association group, ship environmental protection association group, and ship auxiliary equipment association group;

[0019] The correlation index GI Below the association threshold Q The equipment is classified as “unclassified”;

[0020] Represent several association groups in the form of a graph, construct a ship equipment knowledge graph, identify the nodes and edges between the equipment in each association group, and add association indexes above the edges Gl The value of .

[0021] Preferably, the replaceable device information of each device is collected from a public database, the replaceable device information includes the model, specification, brand and supplier of the replaceable device, and for each device, the adaptation value and the number of replaceable devices of each device are collected and obtained. N ;

[0022] The adaptability values ​​of replaceable devices include software adaptability values ​​SAS and hardware adaptability values ​​HAS. After dimensionless processing, the adaptability index is generated by the following formula: Sp :

[0023] ;

[0024] Where, software adaptation valueSAS Indicates the degree of compatibility between software, including version compatibility and functional matching, hardware adaptation value HAS Indicates the degree of compatibility between hardware, including interface compatibility and specification matching; N Indicates the number of replaceable devices, that is, the number of spare devices with the same function; max(N) The same function represents the maximum value of the number of replaceable devices and is used to normalize the number of replaceable devices.

[0025] Preferably, the adaptability index of the device Sp To conduct an assessment:

[0026] If the device's adaptability index Sp Higher than or equal to the adaptation threshold X For devices that are not compatible with the existing ones, add the first replaceable device label to indicate that the device has high adaptability and is the preferred replacement device. This facilitates the use of these devices as the first priority alternative replacement options when the device is maintained, replaced, or updated.

[0027] If the device's adaptability index Sp Below the adaptation threshold X If the device is a customized device, a second not recommended replacement device label is added to remind the user or system that these devices have low adaptability and are not suitable as the first choice replacement device; if the device is a customized device, a special handling mark is added, including "customized device" and "special needs" and marked with a prominent color.

[0028] Preferably, when a user makes a query request, the system sends a command to the ship equipment through a network or interface connected to the ship equipment, requesting to obtain the usage information of the equipment; the system collects the query request information proposed by the user, including keywords and query content; and simultaneously collects the actual usage information of the ship equipment provided by the user, including equipment model, usage time and maintenance record;

[0029] The collected user request information and the actual use information of ship equipment are combined into a query data set; the maintenance and fault handling records of the user-transmitted equipment in the query data set are extracted, and the maintenance index is generated by the following formula Wx :

[0030] ;

[0031] In the formula, Indicates the frequency of equipment maintenance. Indicates the age of the equipment. Indicates the fault severity value, and quantifies the impact of the fault on the operation of other equipment on the ship into a value of 1-10, with the value of 1-10 increasing the severity level. MT Indicates maintenance time. MC represents the repair cost value, , , , and Respectively indicate the equipment maintenance frequency , Equipment service life , Fault severity value , Maintenance time MT and repair cost value MC The weight value of , , , , ,and , Represents the first correction constant.

[0032] Preferably, the query data set is analyzed, and historical user query information is collected to obtain historical commonly used query keywords, query frequency cxpl, query time cxsj, browsing frequency llpl, number of times of browsing multimodal videos cs1, number of times of browsing texts cs2, number of times of listening to voice explanations cs3 and historical satisfaction value cs4, and the keywords and ship codes are combined to generate the first query sentence;

[0033] Preferably, the maintenance index Wx Conduct assessments and obtain assessment results, including:

[0034] Maintenance index Wx A value between 0 and 30 indicates that the equipment maintenance demand is low, the equipment status is qualified, and it is adapted to the daily maintenance manual, operation guide, or operation precautions;

[0035] Maintenance index Wx A value between 31 and 70 indicates that the equipment has an intermediate maintenance requirement and requires an emergency treatment plan, common troubleshooting methods for the equipment, and maintenance guidance;

[0036] Maintenance index Wx Values ​​between 71 and 100 indicate that the equipment has a high maintenance demand and requires an emergency maintenance manual and emergency treatment plan. Sp Push order links for high-end replacement devices and provide maintenance personnel contact information;

[0037] The full-text retrieval system of interactive electronic technical manuals for marine equipment includes a data acquisition module, a data preprocessing module, an association extraction module, an association analysis and classification module, a knowledge graph construction module, an equipment adaptation evaluation module, a user behavior analysis module, a maintenance evaluation module, a multimodal preference level judgment module, and a result matching and sending module;

[0038] The data acquisition module is used to capture different types of ship equipment information from public databases using crawling technology, including functions, technical parameters and operating instructions, establish a ship technology database, select target databases, including ship equipment manufacturer websites, technical forums, industry association websites and public databases, including PubMed and IEEE Xplore with the same function, and write crawling codes to capture ship equipment information and save it to the ship technology database;

[0039] The data preprocessing module is used to perform cleaning, deduplication and formatting preprocessing operations on the ship technical database;

[0040] The association relationship extraction module is used to use natural language processing technology to perform entity recognition and association relationship extraction on the data to build a device association index Gl ;

[0041] The association analysis classification module is used to classify the device association index Gl Above or equal to the association threshold Q The devices are classified into one category and several associated groups are obtained;

[0042] The knowledge graph construction module represents the association group in the form of a graph, constructs a ship equipment knowledge graph, and displays the association relationship and association index between the equipment in the graph. Gl The value of

[0043] The device adaptation evaluation module is used to collect the adaptation value of the associated device and the number of replaceable device models from the public database to construct an adaptation index Sp , according to the adaptation index Sp The value of adds a first replaceable device label or a second not recommended replacement device label to the device;

[0044] The user behavior analysis module is used to collect user ship equipment usage instructions and actual usage information, establish a query data set, and analyze the query data set to obtain a user behavior index Xw ;

[0045] The maintenance evaluation module is used to Wx Conduct assessments to determine the degree of equipment maintenance needs and match the corresponding adaptive retrieval solutions;

[0046] The multimodal preference level judgment module is used to determine the user's behavior index. Xw The value of is used to judge the user's multimodal preference level, including text preference, voice preference or video preference;

[0047] The result matching and sending module is used to match the corresponding search scheme and multimodal data according to the evaluation results and the judgment of the user behavior index, and send the results to the user end after uniformly processing the text, voice or video data.

[0048] (III) Beneficial effects

[0049] The present invention provides a full-text search method and system for interactive electronic technical manuals of ship equipment. It has the following beneficial effects:

[0050] (1) Through data collection and preprocessing, the system can obtain and organize ship equipment information from multiple sources to ensure the integrity and accuracy of the data. Association extraction and knowledge graph construction enable users to clearly understand the association between equipment and provide guidance for equipment maintenance and management. The equipment adaptation evaluation module helps users quickly find replacement equipment and classify it according to the adaptation index, improving maintenance efficiency and accuracy. The user behavior analysis and multimodal preference level judgment module take into account the personalized needs of users and provide users with a customized service experience. The maintenance evaluation module provides maintenance solutions based on the equipment status, improving the reliability and stability of the equipment. Finally, the result matching and sending module sends the results of the comprehensive analysis to the user end, enabling users to obtain the required information in a timely manner, improving user satisfaction and usage efficiency. The combined effect of these functions makes ship equipment management more intelligent and convenient, providing strong support for ship operation and management.

[0051] (2) Through the user behavior index Xw The construction and analysis of the maintenance index can understand the user's personalized needs and preferences. The maintenance index is constructed based on the user's historical search records and query preferences, as well as the maintenance and troubleshooting records of ship equipment. Wx , can realize the understanding and response to the personalized needs of users. According to the evaluation results, the appropriate search scheme is matched, and according to the user behavior index Xw It can make judgments, provide targeted information recommendations and customized services to meet the personalized needs of users. Through the judgment of multimodal preference levels and the unified processing of text, voice or video data, it can send information to the user end in a form that is more in line with the user's taste according to the user's preferences. This not only improves the user's experience, but also enhances the user's trust and reliance on the technical manual, thereby improving user satisfaction.

[0052] (3) Represent the association group in the form of a graph, construct a ship equipment knowledge graph, and add an association index above the edge Gl The value of can intuitively show the relationship between ship equipment. Such a map can help users more intuitively understand the relationship between equipment and provide an intuitive reference for decision-making and problem solving.

[0053] (4) Computing device adaptation index Sp Calculate and evaluate if the device's adaptability index Sp Higher than or equal to the adaptation threshold X For devices that are not compatible with the existing ones, add the first replaceable device label to indicate that the device has high adaptability and is the preferred replacement device. This facilitates the use of these devices as the first priority alternative replacement options when the device is maintained, replaced, or updated.

[0054] If the device's adaptability index Sp Below the adaptation threshold X If the device is a customized device, a second not recommended replacement device label is added to remind the user or system that these devices have low adaptability and are not suitable as the first choice replacement device; if the device is a customized device, a special handling mark is added, including "customized device" and "special needs" and marked with a prominent color.

[0055] Through such processing and marking, users can more clearly understand the compatibility of replaceable equipment during equipment maintenance and replacement, thereby effectively selecting appropriate backup replacement options, improving the efficiency and accuracy of maintenance and replacement, and reducing maintenance delays and failure risks caused by equipment incompatibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A schematic diagram of the steps of the method for full-text retrieval of the interactive electronic technical manual of ship equipment of the present invention;

[0057] Figure 2 The present invention is a schematic diagram of the flowchart of the full-text retrieval system of the interactive electronic technical manual for ship equipment. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0059] Example 1 Please refer to Figure 1 The present invention provides a full-text retrieval method for an interactive electronic technical manual of ship equipment.

[0060] Use crawling technology to crawl different types of ship equipment information from public databases. The ship equipment information includes the functions, technical parameters and operation instructions of the equipment to establish a ship technology database. After preprocessing the ship technology database, use natural language processing technology to perform entity recognition on the ship equipment information in the ship technology database and extract the association relationship between the equipment to build an equipment association index. Gl , the device association index Gl Above or equal to the association threshold Q The devices are classified into one category and several associated groups are obtained;

[0061] Represent several association groups in the form of a graph, construct a ship equipment knowledge graph, identify the nodes and edges between the equipment in each association group, and add association indexes above the edges Gl and collect the adaptation values ​​of the associated devices and the number of replaceable device models from the public database to construct an adaptation index Sp , the adaptation index Sp Higher than or equal to the adaptation threshold X For the device, add a first replaceable device tag;

[0062] When the user extracts a query request, the user's ship equipment usage instructions are sent to collect the query user request information and the actual usage information of the user's ship equipment, and a query data set is established. Through semantic analysis technology, the first query word is identified and obtained, and the user's historical search records and query preferences are collected to build a user behavior index. Xw ; Analyze the query data set, obtain the user's ship equipment maintenance and fault handling records, and build a maintenance index Wx , and according to the maintenance index Wx After the evaluation, the appropriate search scheme is matched according to the evaluation results. In obtaining the appropriate search scheme, the user behavior index Xw Make a judgment, obtain the judgment result, and according to the multimodal preference level of the judgment result, uniformly process the text, voice or video data and send it to the user end.

[0063] In this embodiment, crawling technology is used to obtain different types of ship equipment information from public databases, a ship technology database is established, and entity recognition and association relationship extraction of equipment information are realized through natural language processing technology. This enables users to obtain required content more quickly and accurately when searching for specific information, improving the efficiency and accuracy of information retrieval. Xw The construction and analysis of the maintenance index can understand the user's personalized needs and preferences. The maintenance index is constructed based on the user's historical search records and query preferences, as well as the maintenance and troubleshooting records of ship equipment. Wx, can realize the understanding and response to the personalized needs of users. According to the evaluation results, the appropriate search scheme is matched, and according to the user behavior index Xw It can make judgments, provide targeted information recommendations and customized services to meet the personalized needs of users. Through the judgment of multimodal preference levels and the unified processing of text, voice or video data, it can send information to the user end in a form that is more in line with the user's taste according to the user's preferences. This not only improves the user's experience, but also enhances the user's trust and reliance on the technical manual, thereby improving user satisfaction.

[0064] Example 2: This example is an explanation of Example 1. Specifically, target databases are selected, including ship equipment manufacturer websites, technical forums, industry association websites, and public databases. Public databases include PubMed and IEEE Xplore, which has the same function.

[0065] Select Scrapy, Beautiful Soup and Selenium tools, analyze the structure and content of the target website, and formulate a crawling strategy, including determining the target page to be crawled, the frequency of crawling and the depth of crawling; determine the crawled ship keywords, tags and URL patterns, and locate the target information of ship equipment; write the crawling code, crawl the link request of ship equipment information, process the response of the ship equipment information page, extract the detailed information of the ship equipment, return the results, save them in the folder of each ship equipment, and establish a ship technology database.

[0066] In this embodiment, selecting a target database and adopting appropriate crawling tools and strategies will help improve the information acquisition efficiency, accuracy and practicality of the full-text retrieval system for interactive electronic technical manuals of ship equipment and provide users with a better user experience.

[0067] Example 3: This example is an explanation of Example 1. Specifically, the original data in the ship technical database is cleaned, deduplicated and formatted.

[0068] Using natural language processing technology, perform entity recognition and association extraction on the pre-processed data to identify entities in ship equipment information, including equipment names and technical parameters; extract associations between equipment, including functional associations, control associations, safety associations, environmental protection associations, and auxiliary equipment associations;

[0069] Based on the extracted association relationships and the statistical analysis method of the association relationships, the device association index Gl is generated by the following formula:

[0070] ;

[0071] in, Indicates the device and equipment The weight of the relationship between them is determined based on the strength, frequency and importance of the relationship, and is adjusted by the user. Indicates the device and equipment The correlation index between variables The index or number of the device is used to represent the iteration in the calculation of the association relationship weight between the devices. The variable k is used to cyclically calculate the contribution of each device to the association index. Indicates the number of devices.

[0072] Specifically, set the association threshold Q , and will traverse the association index between devices Gl , the correlation index Gl Above or equal to the association threshold Q The equipment is classified into the same category, and the association groups include ship function association group, ship control association group, ship function association group, ship safety association group, ship environmental protection association group, and ship auxiliary equipment association group;

[0073] The correlation index GI Below the association threshold Q The equipment is classified as “unclassified”;

[0074] Represent several association groups in the form of a graph, construct a ship equipment knowledge graph, identify the nodes and edges between the equipment in each association group, and add association indexes above the edges Gl The value of .

[0075] In this embodiment, the association group is represented in the form of a graph to construct a ship equipment knowledge graph, and the association index is added above the edge. Gl The value of can intuitively show the relationship between ship equipment. Such a map can help users more intuitively understand the relationship between equipment and provide an intuitive reference for decision-making and problem solving.

[0076] Embodiment 4: This embodiment is an explanation of Embodiment 1. Specifically, the replaceable device information of each device is collected from a public database. The replaceable device information includes the model, specification, brand and supplier of the replaceable device. For each device, the adaptation value and the number of replaceable devices of each device are collected and obtained. N ;

[0077] The adaptability values ​​of replaceable devices include software adaptability values ​​SAS and hardware adaptability values ​​HAS. After dimensionless processing, the adaptability index is generated by the following formula: Sp :

[0078] ;

[0079] Where, software adaptation value SAS Indicates the degree of compatibility between software, including version compatibility and functional matching, hardware adaptation value HAS Indicates the degree of compatibility between hardware, including interface compatibility and specification matching; N Indicates the number of replaceable devices, that is, the number of spare devices with the same function; max(N) The same function represents the maximum value of the number of replaceable devices and is used to normalize the number of replaceable devices.

[0080] Device compatibility index Sp To conduct an assessment:

[0081] If the device's adaptability index Sp Higher than or equal to the adaptation threshold X For devices that are not compatible with the existing ones, add the first replaceable device label to indicate that the device has high adaptability and is the preferred replacement device. This facilitates the use of these devices as the first priority alternative replacement options when the device is maintained, replaced, or updated.

[0082] If the device's adaptability index Sp Below the adaptation threshold X If the device is a customized device, a second not recommended replacement device label is added to remind the user or system that these devices have low adaptability and are not suitable as the first choice replacement device; if the device is a customized device, a special handling mark is added, including "customized device" and "special needs" and marked with a prominent color.

[0083] In this embodiment, through such processing and marking, the user can more clearly understand the compatibility of replaceable devices during equipment maintenance and replacement, thereby effectively selecting appropriate backup replacement options, improving the efficiency and accuracy of maintenance and replacement, and reducing maintenance delays and failure risks caused by equipment incompatibility.

[0084] Embodiment 5, this embodiment is an explanation of embodiment 1. Specifically, when a user makes a query request, the system sends a command to the ship equipment through a network or interface connected to the ship equipment, requesting to obtain the use information of the equipment; the system collects the query request information proposed by the user, including keywords and query content; and simultaneously collects the actual use information of the ship equipment provided by the user, including equipment model, use time and maintenance record;

[0085] The collected user request information and the actual use information of ship equipment are combined into a query data set; the maintenance and fault handling records of the user-transmitted equipment in the query data set are extracted, and the maintenance index is generated by the following formula Wx :

[0086] ;

[0087] In the formula, Indicates the frequency of equipment maintenance. Indicates the age of the equipment. Indicates the fault severity value, and quantifies the impact of the fault on the operation of other equipment on the ship into a value of 1-10, with the value of 1-10 increasing the severity level. MT Indicates maintenance time. MC represents the repair cost value, , , , and Respectively indicate the equipment maintenance frequency , Equipment service life , Fault severity value , Maintenance time MT and repair cost value MC The weight value of , , , , ,and , Represents the first correction constant.

[0088] Maintenance Index Wx The system can comprehensively evaluate the maintenance and troubleshooting of user equipment and provide users with more comprehensive and accurate information to support their decisions and actions in equipment maintenance and troubleshooting.

[0089] Specifically, the query data set is analyzed, and historical user query information is collected to obtain historical commonly used query keywords, query frequency cxpl, query time cxsj, browsing frequency llpl, number of times of browsing multimodal videos cs1, number of times of browsing texts cs2, number of times of listening to voice explanations cs3 and historical satisfaction value cs4, and the keywords and ship codes are combined to generate the first query sentence;

[0090] Specifically, the maintenance index Wx Conduct assessments and obtain assessment results, including:

[0091] Maintenance index Wx A value between 0 and 30 indicates that the equipment maintenance demand is low, the equipment status is qualified, and it is adapted to the daily maintenance manual, operation guide, or operation precautions;

[0092] Maintenance index Wx A value between 31 and 70 indicates that the equipment has an intermediate maintenance requirement and requires an emergency treatment plan, common troubleshooting methods for the equipment, and maintenance guidance;

[0093] Maintenance index Wx Values ​​between 71 and 100 indicate that the equipment has a high maintenance demand and requires an emergency maintenance manual and emergency treatment plan. Sp Push order links for high-end replacement devices and provide maintenance personnel contact information;

[0094] Example 6, please refer to Figure 2 , a full-text retrieval system for interactive electronic technical manuals of marine equipment, including a data acquisition module, a data preprocessing module, an association extraction module, an association analysis classification module, a knowledge graph construction module, an equipment adaptation evaluation module, a user behavior analysis module, a maintenance evaluation module, a multimodal preference level judgment module, and a result matching and sending module;

[0095] The data acquisition module is used to capture different types of ship equipment information from public databases using crawling technology, including functions, technical parameters and operating instructions, establish a ship technology database, select target databases, including ship equipment manufacturer websites, technical forums, industry association websites and public databases, including PubMed and IEEE Xplore with the same function, and write crawling codes to capture ship equipment information and save it to the ship technology database;

[0096] The data preprocessing module is used to perform cleaning, deduplication and formatting preprocessing operations on the ship technical database;

[0097] The association relationship extraction module is used to use natural language processing technology to perform entity recognition and association relationship extraction on the data to build a device association index Gl ;

[0098] The association analysis classification module is used to classify the device association index Gl Above or equal to the association threshold Q The devices are classified into one category and several associated groups are obtained;

[0099] The knowledge graph construction module represents the association group in the form of a graph, constructs a ship equipment knowledge graph, and displays the association relationship and association index between the equipment in the graph. Gl The value of

[0100] The device adaptation evaluation module is used to collect the adaptation value of the associated device and the number of replaceable device models from the public database to construct an adaptation index Sp , according to the adaptation index Sp The value of adds a first replaceable device label or a second not recommended replacement device label to the device;

[0101] The user behavior analysis module is used to collect user ship equipment usage instructions and actual usage information, establish a query data set, and analyze the query data set to obtain a user behavior index Xw ;

[0102] The maintenance evaluation module is used to Wx Conduct assessments to determine the degree of equipment maintenance needs and match the corresponding adaptive retrieval solutions;

[0103] The multimodal preference level judgment module is used to determine the user's behavior index. Xw The value of is used to judge the user's multimodal preference level, including text preference, voice preference or video preference;

[0104] The result matching and sending module is used to match the corresponding search scheme and multimodal data according to the evaluation results and the judgment of the user behavior index, and send the results to the user end after uniformly processing the text, voice or video data.

[0105] In this embodiment, through data collection and preprocessing, the system can obtain and organize ship equipment information from multiple sources to ensure the integrity and accuracy of the data. Association extraction and knowledge graph construction enable users to clearly understand the association relationship between devices and provide guidance for equipment maintenance and management. The equipment adaptation evaluation module helps users quickly find replacement equipment and classify it according to the adaptation index, improving maintenance efficiency and accuracy. The user behavior analysis and multimodal preference level judgment module take into account the personalized needs of users and provide users with a customized service experience. The maintenance evaluation module provides maintenance solutions based on the equipment status, improving the reliability and stability of the equipment. Finally, the result matching and sending module sends the results of the comprehensive analysis to the user end, enabling users to obtain the required information in a timely manner, improving user satisfaction and usage efficiency. The combined effect of these functions makes ship equipment management more intelligent and convenient, providing strong support for ship operation and management.

[0106] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A full-text retrieval method for interactive electronic technical manuals of marine equipment, characterized in that: include, Use crawling technology to crawl different types of ship equipment information from public databases. The ship equipment information includes the functions, technical parameters and operation instructions of the equipment to establish a ship technology database. After preprocessing the ship technology database, use natural language processing technology to perform entity recognition on the ship equipment information in the ship technology database and extract the association relationship between the equipment to build an equipment association index. Gl , the device association index Gl Above or equal to the correlation threshold Q The devices are classified into one category and several associated groups are obtained; Represent several association groups in the form of a graph, construct a ship equipment knowledge graph, identify the nodes and edges between the equipment in each association group, and add association indexes above the edges Gl The value of The adaptation values ​​of related devices and the number of replaceable device models are collected from the public database to construct an adaptation index. Sp , the adaptation index Sp Higher than or equal to the adaptation threshold X For the device, add a first replaceable device tag; When the user extracts a query request, the user's ship equipment usage instructions are sent to collect the query user request information and the actual usage information of the user's ship equipment, and a query data set is established. Through semantic analysis technology, the first query word is identified and obtained, and the user's historical search records and query preferences are collected to build a user behavior index. XW ; Analyze the query data set, obtain the user's ship equipment maintenance and fault handling records, and build a maintenance index Wx ; When a user makes a query request, the system sends a command to the ship equipment through the network or interface connected to the ship equipment, requesting to obtain the equipment usage information; the system collects the query request information proposed by the user, including keywords and query content; And simultaneously collect the actual usage information of ship equipment provided by users, including equipment model, usage time and maintenance records; The collected user request information and the actual use information of ship equipment are combined into a query data set; the maintenance and fault handling records of the user-transmitted equipment in the query data set are extracted, and the maintenance index is generated by the following formula Wx : In the formula, Indicates the frequency of equipment maintenance. Indicates the age of the equipment. Indicates the fault severity value, and quantifies the impact of the fault on the operation of other equipment on the ship into a value of 1-10, with the value of 1-10 increasing the severity level. MT Indicates maintenance time. MC represents the repair cost value, and Respectively indicate the equipment maintenance frequency , Equipment service life , Fault severity value , Maintenance time MT and repair cost value MC The weight value of , , , , ,and , represents the first correction constant; And according to the maintenance index Wx After the evaluation, the appropriate search scheme is matched according to the evaluation results. In obtaining the appropriate search scheme, the user behavior index XW Make a judgment, obtain the judgment result, and according to the multimodal preference level of the judgment result, uniformly process the text, voice or video data and send it to the user end.

2. The method for full-text retrieval of interactive electronic technical manual of ship equipment according to claim 1, characterized in that: Select target databases, including ship equipment manufacturer websites, technical forums, industry association websites, and public databases, including PubMed and IEEE's equivalent function Xplore; Select Scrapy, Beautiful Soup and Selenium tools, analyze the structure and content of the target website, and formulate a crawling strategy, including determining the target page to be crawled, the frequency of crawling and the depth of crawling; determine the crawled ship keywords, tags and URL patterns, and locate the target information of ship equipment; write the crawling code, crawl the link request of ship equipment information, process the response of the ship equipment information page, extract the detailed information of the ship equipment, return the results, save them in the folder of each ship equipment, and establish a ship technology database.

3. The method for full-text retrieval of interactive electronic technical manual of ship equipment according to claim 1, characterized in that: Perform pre-processing operations such as cleaning, deduplication and formatting of raw data in the ship technical database; Using natural language processing technology, perform entity recognition and association extraction on the pre-processed data to identify entities in ship equipment information, including equipment names and technical parameters; extract associations between equipment, including functional associations, control associations, safety associations, environmental protection associations, and auxiliary equipment associations; Based on the extracted associations and the statistical analysis method of the associations, the device association index is generated by the following formula: Gl : ; in, Indicates the device and equipment The weight of the relationship between them is determined based on the strength, frequency and importance of the relationship, and is adjusted by the user. Indicates the device and equipment The correlation index between variables The index or number of the device is used to represent the iteration in the calculation of the association relationship weight between the devices. The variable k is used to cyclically calculate the contribution of each device to the association index. Indicates the number of devices.

4. The method for full-text retrieval of interactive electronic technical manual of ship equipment according to claim 3 is characterized by: Setting the correlation threshold Q , and will traverse the association index between devices Gl , the correlation index Gl Above or equal to the correlation threshold Q The equipment is classified into the same category, and the association groups include ship function association group, ship control association group, ship function association group, ship safety association group, ship environmental protection association group, and ship auxiliary equipment association group; The correlation index Gl Below the association threshold Q The equipment is classified as "unclassified"; Represent several association groups in the form of a graph, construct a ship equipment knowledge graph, identify the nodes and edges between the equipment in each association group, and add association indexes above the edges Gl The value of .

5. The method for full-text retrieval of interactive electronic technical manual of ship equipment according to claim 1, characterized in that: Collect the replaceable device information of each device from the public database. The replaceable device information includes the model, specification, brand and supplier of the replaceable device. For each device, collect and obtain the adaptation value and replaceable device quantity of each device. N ; The adaptability values ​​of replaceable devices include software adaptability values ​​SAS and hardware adaptability values ​​HAS. After dimensionless processing, the adaptability index is generated by the following formula: Sp : ; Where, software adaptation value SAS Indicates the degree of compatibility between software, including version compatibility and functional matching, hardware adaptation value HAS Indicates the degree of compatibility between hardware, including interface compatibility and specification matching; N Indicates the number of replaceable devices, that is, the number of spare devices with the same function; max(N) The same function represents the maximum value of the number of replaceable devices and is used to normalize the number of replaceable devices.

6. The method for full-text retrieval of interactive electronic technical manual of ship equipment according to claim 5, characterized in that: Device compatibility index Sp To conduct an assessment: If the device's adaptability index Sp Higher than or equal to the adaptation threshold X For devices that are not compatible with the existing ones, add the first replaceable device label to indicate that the device has high adaptability and is the preferred replacement device. This facilitates the use of these devices as the first priority alternative replacement options when the device is maintained, replaced, or updated. If the device's adaptability index Sp Below the adaptation threshold X If the device is a customized device, a second not recommended replacement device label is added to remind the user or system that these devices have low adaptability and are not suitable as the first choice replacement device; if the device is a customized device, a special processing mark is added, including "customized device" and "special needs" and marked with a prominent color.

7. The method for full-text retrieval of interactive electronic technical manual of ship equipment according to claim 1, characterized in that: Maintenance Index Wx Conduct assessments and obtain assessment results, including: Maintenance index Wx A value between 0 and 30 indicates that the equipment maintenance demand is low, the equipment status is qualified, and it is adapted to the daily maintenance manual, operation guide, or operation precautions; Maintenance index Wx A value between 31 and 70 indicates that the equipment has an intermediate maintenance requirement and requires an emergency treatment plan, common troubleshooting methods for the equipment, and maintenance guidance; Maintenance index Wx Values ​​between 71 and 100 indicate that the equipment has a high maintenance demand and requires an emergency maintenance manual and emergency treatment plan. Sp A link to order a replacement device with a high quality one is sent to the customer, and the repair contact information is provided.

8. A full-text retrieval system for interactive electronic technical manuals for ship equipment, applied to a full-text retrieval method for interactive electronic technical manuals for ship equipment according to any one of claims 1 to 7, characterized in that: It includes data collection module, data preprocessing module, association relationship extraction module, association analysis and classification module, knowledge graph construction module, equipment adaptation evaluation module, user behavior analysis module, maintenance evaluation module, multimodal preference level judgment module, and result matching and sending module; The data acquisition module is used to capture different types of ship equipment information from public databases using crawling technology, including functions, technical parameters and operating instructions, establish a ship technology database, select target databases, including ship equipment manufacturer websites, technical forums, industry association websites and public databases, including PubMed and IEEE Xplore with the same function, and write crawling codes to capture ship equipment information and save it to the ship technology database; The data preprocessing module is used to perform cleaning, deduplication and formatting preprocessing operations on the ship technical database; The association relationship extraction module is used to use natural language processing technology to perform entity recognition and association relationship extraction on the data to build a device association index Gl ; The association analysis classification module is used to classify the device association index Gl Above or equal to the correlation threshold Q The devices are classified into one category and several associated groups are obtained; The knowledge graph construction module represents the association group in the form of a graph, constructs a ship equipment knowledge graph, and displays the association relationship and association index between the equipment in the graph. Gl The value of The device adaptation evaluation module is used to collect the adaptation value of the associated device and the number of replaceable device models from the public database to construct an adaptation index Sp , according to the adaptation index Sp The value of adds a first replaceable device label or a second not recommended replacement device label to the device; The user behavior analysis module is used to collect user ship equipment usage instructions and actual usage information, establish a query data set, and analyze the query data set to obtain a user behavior index XW ; The maintenance evaluation module is used to Wx Conduct assessments to determine the degree of equipment maintenance needs and match the corresponding adaptive retrieval solutions; The multimodal preference level judgment module is used to determine the user's behavior index. XW The value of is used to judge the user's multimodal preference level, including text preference, voice preference or video preference; The result matching and sending module is used to match the corresponding search scheme and multimodal data according to the evaluation results and the judgment of the user behavior index, and send the results to the user end after uniformly processing the text, voice or video data.

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