Intelligent execution method and system for laser printer based on semantic understanding

Abstract

The application provides a laser printer intelligent execution method and system based on semantic understanding, and belongs to the technical field of printer intelligent control. The method comprises the following steps: collecting voice input information and printing text information of a user in real time through a printer control terminal, preprocessing the voice input information and the printing text information, and obtaining current printing requirement parameter information and file characteristic data of the user; determining whether there is a first intention conflict and a second intention conflict according to the printing requirement parameter information and the file characteristic data; formulating a conflict resolution strategy based on the determination results of the first intention conflict and the second intention conflict, setting a printing strategy based on the conflict resolution strategy and historical behavior records of the user, and obtaining a set printing scheme; sending the set printing scheme to the user for confirmation, and performing a printing operation after receiving the user confirmation information; and when the user confirmation information is not received, performing a printing conflict alarm through the printer control terminal.

Description

Technical Field

[0001] This invention proposes a method and system for intelligent execution of laser printers based on semantic understanding, belonging to the field of intelligent printer control technology. Background Technology

[0002] With the development of artificial intelligence and the Internet of Things (IoT) technologies, laser printers are evolving from traditional passive execution devices into intelligent interactive terminals. To simplify operation, voice control technology has been gradually applied to printing scenarios: for example, Lenovo's AI-powered intelligent printing system uses deep semantic understanding technology to parse spoken commands, supporting the recognition of complex commands such as "print pages 3, 5, and 8, double-sided printing," improving operational efficiency by 80%. Meanwhile, the widespread adoption of cloud printing services has further expanded printing flexibility. For instance, Google's semantic printing options technology translates the native printing options of different printers into a unified protocol format, enabling cross-device printing parameter adaptation.

[0003] Despite advancements in existing technologies for voice interaction and record tracking, there are still issues with intelligent adaptation to printing needs and conflict resolution. Voice printing systems can only recognize parameters in a single command, but they do not perform in-depth analysis based on the feature data of the printed text itself, leading to mismatches between parameter settings and file attributes. Summary of the Invention

[0004] This invention provides a semantic understanding-based intelligent execution method and system for laser printers to solve the technical problems existing in the prior art. The technical solution adopted is as follows:

[0005] A semantic understanding-based intelligent execution method for laser printers, comprising:

[0006] The printer control terminal collects the user's voice input information and printed text information in real time, preprocesses the voice input information and printed text information, performs semantic analysis on the preprocessed voice input information and printed text information, and obtains the user's current printing requirement parameter information and file feature data through semantic analysis.

[0007] Retrieve historical print records from the cloud platform, and determine whether there is a conflict with the first intent based on the print requirement parameter information and file feature data combined with the historical print records;

[0008] Based on the print requirement parameter information and file feature data, combined with the current printer terminal's equipment and material parameters, it is determined whether there is a second intent conflict;

[0009] Based on the determination of the conflict between the first intent and the second intent, a conflict resolution strategy is formulated. Based on the conflict resolution strategy and the user's historical behavior records, a printing strategy is set, and a printing scheme is obtained.

[0010] The printer sends the set printing scheme to the user for confirmation, and executes the printing operation after receiving the user's confirmation. If no user confirmation is received, a printing conflict alarm is triggered through the printer control terminal.

[0011] Furthermore, the system collects user voice input and printed text information in real time via the printer control terminal, preprocesses the voice input and printed text information, performs semantic analysis on the preprocessed voice input and printed text information, and obtains the user's current printing requirement parameters and file feature data through semantic analysis, including:

[0012] The voice acquisition component deployed through the printer control terminal collects the user's voice input information in real time and converts the voice input information into voice-text data.

[0013] Semantic analysis is performed on the speech and text data to obtain the printing requirement parameters contained in the speech input information. The printing requirement parameters include single-sided and double-sided printing, number of copies, printing range, printing scaling ratio, color printing and black and white printing, and printing resolution parameters.

[0014] The text input component deployed in the printer control terminal collects the user's printed text information in real time.

[0015] Semantic analysis is performed on the printed text information to obtain file feature data, wherein the file feature data includes, but is not limited to, document title, document type, keywords, and page layout.

[0016] Furthermore, based on the print requirement parameter information and file feature data combined with historical print records, it is determined whether there is a conflict of intent, including:

[0017] Retrieve the printing request parameters and file characteristic data for each file printout from the user's historical print records;

[0018] The similarity score Sim is obtained by comparing the print request parameters corresponding to the current print file with those corresponding to each historical print file in the historical print record. 01 ;

[0019] The file feature data corresponding to the current printed file information is compared with the file feature data corresponding to each historical printed file contained in the historical print record to obtain the file feature similarity value Sim between the file feature data corresponding to the current printed file information and the file feature data of each historical printed file contained in the historical print record. 02 ;

[0020] Based on the required similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 01 Sim and file feature similarity values 02 Determine whether there is a conflict of primary intent.

[0021] Furthermore, based on the demand similarity value Sim between the current print file information and each historical print file contained in the historical print record. 01 Sim and file feature similarity values 02 Determining whether a conflict of primary intent exists includes:

[0022] Retrieve the file feature similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 02 ;

[0023] Sim, the file feature similarity value 02 The similarity is compared with a preset first similarity threshold, wherein the value of the first similarity threshold is in the range of 0.93-0.97;

[0024] Extracting file feature similarity scores (Sim) from historical print records. 02 Historical print files with a similarity threshold not lower than the preset first similarity threshold are used as the first observation print files;

[0025] Sim retrieves the required similarity value between each first observed print file and the current print file information. 01 ;

[0026] Based on the required similarity value Sim between each first observed printed file and the current printed file information. 01 Sim and file feature similarity values 02 Obtain the first intent conflict coefficient U 01 ;

[0027] First intention conflict coefficient U 01 Compare with the preset first conflict coefficient threshold;

[0028] When the first intention conflict coefficient U 01If the value is lower than the preset first conflict coefficient threshold, then a first intention conflict is determined to exist.

[0029] Furthermore, based on the print demand parameter information and file characteristic data, combined with the current printer terminal's equipment and material parameters, it is determined whether there is a second intent conflict, including:

[0030] Sim retrieves the demand similarity value between the current print file information and each historical print file contained in the historical print record. 01 ;

[0031] Sim, the similarity value of the requirements 01 The similarity is compared with a preset second similarity threshold, wherein the value of the second similarity threshold ranges from 0.83 to 0.88.

[0032] Filter out the requirement similarity value Sim from historical print records. 01 Historical print files with a similarity threshold not lower than the preset second similarity threshold are used as second observation print files and marked.

[0033] Retrieve the file feature similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 02 ;

[0034] Sim, the file feature similarity value 02 The similarity is compared with a preset third similarity threshold, wherein the value of the third similarity threshold ranges from 0.85 to 0.92;

[0035] Extracting file feature similarity scores (Sim) from historical print records. 02 Historical print files with a similarity level not lower than the preset third similarity threshold are used as the third observation print files and marked accordingly;

[0036] The second and third observation print files are compared, and historical print files that are simultaneously marked as both the second and third observation print files are selected as candidate print files.

[0037] Retrieve the device material parameters of the printing device corresponding to the candidate print file at the time of printing, and use the device material parameters of the printing device corresponding to the candidate print file at the time of printing to determine the device material vector E corresponding to the candidate print file. a =[e a01 e a02 ]; wherein, the equipment material parameters include the remaining amount of paper and the remaining amount of toner; and, e a01 and e a02These represent the remaining paper and toner in the printing device corresponding to the candidate print file at the time of printing;

[0038] Retrieve the equipment material parameters from the current printing device, and use these parameters to determine the current equipment material vector E. b =[e b01 e b02 ]; where e b01 and e b02 These represent the current remaining paper and toner levels, respectively.

[0039] The current equipment material vector E b The model | E b |E corresponding to the equipment material vector for each candidate print file a The model | E a |Compare and filter those that satisfy|E a |≥0.87|E b |The candidate print file is selected as the target print file based on the conditions; the actual consumable parameters of the target print file are combined with the equipment material parameters to determine whether there is a second intention conflict.

[0040] Furthermore, determining whether a second intent conflict exists by combining the actual consumable parameters of the target printed document with the equipment material parameters includes:

[0041] Retrieve the actual consumable parameters of the target print file, wherein the actual consumable parameters include paper consumption and toner consumption;

[0042] Retrieve the equipment material parameters of the current printing device, wherein the equipment material parameters include the remaining amount of paper and the remaining amount of toner;

[0043] Sim, the requirement to retrieve the similarity score between the target print file and the current print file. 01 Sim and file feature similarity values 02 ;

[0044] Sim determines the demand similarity value between the actual consumable parameters of each target print file and the equipment material parameters in the current printing device, as well as the information of the target print file and the current print file. 01 Sim and file feature similarity values 02 Does it meet the preset constraints?

[0045] When the actual consumable parameters of each target print file are similar to the equipment material parameters in the current printing device and the demand similarity value between the target print file and the current print file information, Sim 01 Sim and file feature similarity values 02If none of the preset constraints are met, then a second intention conflict is determined to exist.

[0046] Furthermore, a conflict resolution strategy is formulated based on the determination results of the first and second intent conflicts. A printing strategy is set based on the conflict resolution strategy and the user's historical behavior records, and a printing scheme is obtained, including:

[0047] When there is no conflict between the user's current printing intention and the device material parameters of the current printer terminal, the printer is directly controlled to perform the printing operation.

[0048] When there is only one conflict between the user's current printing intention and the device material parameters of the current printer terminal, namely the first intention conflict and the second intention conflict, the printing strategy is set by combining the first conflict resolution strategy with the user's historical behavior records to obtain the set printing scheme.

[0049] When there is a conflict between the user's current printing intention and the device material parameters of the current printer terminal, both a first intention conflict and a second intention conflict exist, the second conflict resolution strategy is used in conjunction with the user's historical behavior records to set the printing strategy and obtain the set printing scheme.

[0050] Furthermore, the first conflict resolution strategy is as follows:

[0051] Sim retrieves the required similarity values ​​between each historical print file contained in the first observation print file and the current print file. 01 Sim and file feature similarity values 02 ;

[0052] The Sim value, representing the required similarity between each historical print file and the current print file information contained in the first observed print file, is used. 01 Sim and file feature similarity values 02 Obtain the first observation coefficients for each historical print file contained in the first observation print file;

[0053] The first observation coefficient of each historical print file contained in the first observation print file is compared with the preset first observation coefficient threshold.

[0054] Retrieve the printing requirement parameter information of historical print files whose first observation coefficient exceeds the preset first observation coefficient threshold;

[0055] Select the optimal demand parameter corresponding to each parameter type in the printing demand parameter information of historical print files whose first observation coefficient exceeds the preset first observation coefficient threshold.

[0056] The optimal requirement parameters corresponding to each parameter type are integrated into a printing strategy, and the integrated printing strategy is used as the setting printing scheme.

[0057] Furthermore, the second conflict resolution strategy is as follows:

[0058] Sim retrieves the required similarity scores between each historical print file contained in the target print file and the current print file. 01 Sim and file feature similarity values 02 ;

[0059] Sim uses the demand similarity value between each historical print file and the current print file information. 01 Sim and file feature similarity values 02 Obtain the second observation coefficients for each historical print file contained in the target print file;

[0060] The second observation coefficient of each historical print file contained in the target print file is compared with a preset second observation coefficient threshold.

[0061] Retrieve the printing requirement parameter information of historical print files whose second observation coefficient exceeds the preset second observation coefficient threshold;

[0062] Select the lowest required parameter for each parameter type in the print requirement parameter information of historical print files whose observed coefficients exceed the preset observed coefficient threshold;

[0063] The minimum required parameters corresponding to each parameter type are integrated into a printing strategy, and the integrated printing strategy is used as the setting printing scheme.

[0064] A semantic understanding-based intelligent execution system for laser printers, comprising:

[0065] The feature information acquisition module is used to collect the user's voice input information and printed text information in real time through the printer control terminal, preprocess the voice input information and printed text information, perform semantic analysis on the preprocessed voice input information and printed text information, and obtain the user's current printing requirement parameter information and file feature data through semantic analysis;

[0066] The first conflict determination module is used to retrieve historical printing records from the cloud platform and determine whether there is a first intention conflict based on the printing requirement parameter information and file feature data combined with the historical printing records.

[0067] The second conflict determination module is used to determine whether there is a second intention conflict based on the printing requirement parameter information and file feature data combined with the current printer terminal's equipment and material parameters.

[0068] The printing scheme setting module is used to formulate a conflict resolution strategy based on the determination result of the first intention conflict and the second intention conflict, set the printing strategy based on the conflict resolution strategy and the user's historical behavior records, and obtain the set printing scheme.

[0069] The print confirmation and conflict warning module is used to send the set print scheme to the user for confirmation, and execute the print operation after receiving the user's confirmation information. If no user confirmation information is received, a print conflict alarm is issued through the printer control terminal.

[0070] Beneficial effects of this invention:

[0071] The semantic understanding-based intelligent execution method and system for laser printers proposed in this invention simultaneously collects and semantically analyzes voice and text information. Compared to recognition methods based on single information input, this approach more comprehensively captures user printing needs, avoids misjudgments caused by fragmented information, significantly improves the completeness and accuracy of obtaining printing requirement parameters and document feature data, and reduces printing errors caused by misunderstandings of requirements. By determining conflicts through a dual-dimensional approach of historical records and equipment / materials, it addresses both the consistency of user behavior and the practical limitations of printer hardware and materials, proactively mitigating potential risks and ensuring the continuity of the printing process. Furthermore, by combining conflict resolution strategies with user history recording settings, the solution not only efficiently resolves conflicts but also aligns with long-term user habits, reducing the operational costs of manually adjusting parameters and enabling personalized printing for individual users, effectively improving the ease of use of printing equipment. Furthermore, this invention requires user confirmation before execution, avoiding discrepancies between the automatically set scheme and the user's final intention, and reducing the incidence of paper, toner / carbon powder waste due to misprints. Conflict alarms when no confirmation is received promptly remind the user to address the issue, preventing printing delays due to missing information and effectively improving the user's control over the printing process and the reliability of the interaction. In addition, by resolving conflicts in advance and reducing printing errors and duplicate printing, the time lost due to printing interruptions is effectively reduced, improving printer efficiency; at the same time, it reduces consumable waste and lowers user operating costs. Attached Figure Description

[0072] Figure 1 This is a flowchart of the method described in this invention;

[0073] Figure 2 This is a system block diagram of the system described in this invention. Detailed Implementation

[0074] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0075] This invention proposes a semantic understanding-based intelligent execution method for laser printers, such as... Figure 1 As shown, the intelligent execution method for the laser printer includes:

[0076] The printer control terminal collects the user's voice input information and printed text information in real time, preprocesses the voice input information and printed text information, performs semantic analysis on the preprocessed voice input information and printed text information, and obtains the user's current printing requirement parameter information and file feature data through semantic analysis.

[0077] Retrieve historical print records from the cloud platform, and determine whether there is a conflict with the first intent based on the print requirement parameter information and file feature data combined with the historical print records;

[0078] Based on the print requirement parameter information and file feature data, combined with the current printer terminal's equipment and material parameters, it is determined whether there is a second intent conflict;

[0079] Based on the determination of the conflict between the first and second intentions, a conflict resolution strategy is formulated. Based on the conflict resolution strategy and the user's historical behavior records, a printing strategy is set, and a printing scheme is obtained.

[0080] The printer sends the set printing scheme to the user for confirmation, and executes the printing operation after receiving the user's confirmation. If no user confirmation is received, a printing conflict alarm is triggered through the printer control terminal.

[0081] The working principle of the above technical solution is as follows: the user's voice input information and printed text information are obtained in real time through the printer control terminal. The two types of information are preprocessed first, and then semantic parsing technology is used to perform in-depth analysis on the preprocessed information. The user's printing intention is extracted from the voice. The printing intention is actually the user's intention to print the document according to the printing parameters. The document features are extracted from the text, and finally the user's current printing requirement parameter information and document feature data are accurately obtained.

[0082] On one hand, the extracted print request parameters and file feature data are compared and analyzed with the user's historical printing records to determine if there is a conflict between the current request and the user's past printing habits. On the other hand, the above parameters are matched with the current printer terminal's equipment and material parameters to determine if the current request exceeds the printer's hardware and material capacity. Based on the actual situation of the first and second intent conflicts, combined with the preset conflict resolution strategy and the user's historical behavior records, an appropriate printing plan is generated, which resolves the identified conflicts and conforms to the user's usage habits. The set printing plan is sent to the printer control terminal for user confirmation. If user confirmation is received, the printer terminal immediately executes the printing operation; if no confirmation is received (e.g., the user does not provide timely feedback or has objections to the plan), a printing conflict alarm is triggered through the printer control terminal to remind the user to handle the conflict.

[0083] The above technical solution achieves the following results: By simultaneously collecting voice and text information and performing semantic analysis, compared to recognition methods based on single information input, it can more comprehensively capture user printing needs, avoid misjudgments of needs due to fragmented information, significantly improve the completeness and accuracy of obtaining printing requirement parameters and document feature data, and reduce printing errors caused by misunderstandings of needs. Conflict determination through a dual dimension of historical records and equipment / materials not only covers the consistency of needs at the user's behavioral habit level but also takes into account the actual limitations of printer hardware and materials, proactively mitigating potential risks and ensuring the continuity of the printing process. Furthermore, by combining conflict resolution strategies with user historical behavior records, the solution not only efficiently resolves conflicts but also aligns with users' long-term usage habits, reducing the operational costs of manually adjusting parameters and achieving personalized printing for individual users, effectively improving the ease of use of printing equipment. Furthermore, this embodiment requires user confirmation before execution to avoid discrepancies between the automatically set scheme and the user's final intention, reducing the incidence of paper, toner / carbon powder waste due to misprints. Conflict alarms when no confirmation is received promptly remind the user to address issues, preventing printing delays due to missing information and effectively improving the user's control over the printing process and the reliability of the interaction. In addition, by resolving conflicts in advance and reducing printing errors and duplicate printing, the time lost due to printing interruptions is effectively reduced, improving printer efficiency; simultaneously, it reduces consumable waste and lowers user operating costs.

[0084] In one embodiment of the present invention, a printer control terminal collects user voice input information and printed text information in real time, preprocesses the voice input information and printed text information, performs semantic analysis on the preprocessed voice input information and printed text information, and obtains the user's current printing requirement parameters and file feature data through semantic analysis, including:

[0085] The voice acquisition component deployed through the printer control terminal collects the user's voice input information in real time and converts the voice input information into voice-text data.

[0086] Semantic analysis is performed on the speech and text data to obtain the printing requirement parameters contained in the speech input information. The printing requirement parameters include, but are not limited to, single-sided or double-sided printing, number of copies, printing range, printing scaling ratio, color printing and black and white printing, and printing resolution parameters.

[0087] The text input component deployed in the printer control terminal collects the user's printed text information in real time.

[0088] Semantic analysis is performed on the printed text information to obtain file feature data, wherein the file feature data includes, but is not limited to, document title, document type, keywords, and page layout.

[0089] The working principle of the above technical solution is as follows: The printer control terminal (such as a mobile phone or computer) uses a microphone or other voice acquisition component to capture the user's voice commands in real time. Then, speech-to-text technology (such as ASR automatic speech recognition) is used to convert the voice signal into structured speech-text data. Next, Natural Language Processing (NLP) technology is used to perform semantic analysis on the speech-text data, extracting explicit or implicit printing operation parameters from the text, including single / double-sided printing mode, number of copies, specified page range, scaling ratio, color mode (color / black and white), resolution, and other core printing requirement parameters, forming a quantitative description of the user's operational intent. Subsequently, the text information to be printed is acquired in real time through the printer control terminal's text input interface. Finally, based on text semantic analysis technology, the printed text is processed in depth to extract the document's own feature data, including identification information such as document titles, document type attribute classification, core keywords (e.g., tags related to confidentiality, sales data, etc.), and page layout features (e.g., the distribution of text and images, the proportion of each element, and other spatial structure information), constructing a comprehensive feature description of the printed object.

[0090] The above technical solution achieves the following results: By combining voice and text information acquisition, it overcomes the limitations of a single input method. Voice input directly captures the user's operational intent, while text input effectively supplements the document's inherent attributes. This mutual verification and complementarity significantly reduces the misjudgment rate caused by incomplete or ambiguous information, thereby improving the completeness and accuracy of printing requirement parameters and document characteristic data. Simultaneously, the analysis of voice information covers specific operational parameters such as single / double-sided printing, number of copies, and resolution, while the analysis of text information delves into feature dimensions such as document type, keywords, and page layout. This provides a sufficiently fine-grained data foundation for the intelligent adaptation of subsequent printing strategies, enabling printing solutions to accurately match user operating habits and document attribute requirements. Furthermore, information such as document type (e.g., contracts require formal printing), keywords (e.g., confidential documents require specific processing), and page layout (e.g., densely texted pages require scaling adjustment) in the document characteristic data provides crucial basis for scenario-based printing, allowing the printer to automatically adapt to the optimal printing mode based on document attributes, thus effectively reducing the operational costs of manual adjustments for users. Meanwhile, voice input aligns with users' daily communication habits, reducing the tedious process of manually entering parameters; while automatic text parsing eliminates the need for users to additionally annotate document features. Through proactive information extraction at the technical level, the operational chain from initiating a printing request to executing the print job is shortened, effectively improving the convenience of human-computer interaction. Furthermore, the extracted print request parameters and document feature data serve as core inputs for subsequent conflict resolution and strategy setting, effectively improving the accuracy of subsequent printing processes and thus enhancing the overall intelligence level of the printing system.

[0091] One embodiment of the present invention determines whether a first intent conflict exists based on the print requirement parameter information and file feature data combined with historical print records, including:

[0092] Retrieve the printing request parameters and file characteristic data for each file printout from the user's historical print records;

[0093] The similarity score Sim is obtained by comparing the print request parameters corresponding to the current print file with those corresponding to each historical print file in the historical print record. 01 ;

[0094] The file feature data corresponding to the current printed file information is compared with the file feature data corresponding to each historical printed file contained in the historical print record to obtain the file feature similarity value Sim between the file feature data corresponding to the current printed file information and the file feature data of each historical printed file contained in the historical print record. 02 ;

[0095] Based on the required similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 01 Sim and file feature similarity values 02 Determine whether there is a conflict of primary intent.

[0096] The working principle of the above technical solution is as follows: First, the system automatically retrieves complete data corresponding to each printout from the user's historical print records, including the print request parameters and file feature data for that printout, to construct a historical behavior dataset. Then, the system performs a structured comparison between the print request parameters of the current printout and the print request parameters of each printout in the historical records, and calculates the request similarity value Sim using the aforementioned method. 01 This quantifies the consistency between current and historical printing parameters. Feature matching is performed on the file feature data of the current print file and the file feature data of each print in the historical record. For example, features include document type consistency, keyword overlap, and page layout similarity. The file feature similarity value, Sim, is calculated using a feature vector comparison algorithm. 02 This quantifies the correlation between current and historical print file attributes. Finally, it combines Sim... 01 and Sim 02 The numerical results are used to determine whether there is a conflict between the current printing intention and the user's historical printing habits, i.e., whether there is a conflict of primary intention, by using preset judgment rules.

[0097] The above technical solution achieves the following results: By using a two-dimensional similarity metric based on both requirement parameters and document characteristics, it avoids the limitations of single-dimensional comparisons, making conflict determination more aligned with user behavior logic and reducing false positives or false negatives. Simultaneously, similarity analysis based on historical records effectively captures users' inherent printing preferences for specific document types. For example, fixed parameter settings for contract documents allow for accurate identification when current requirements deviate from these preferences, providing a habit-based decision-making basis for subsequent conflict resolution. Furthermore, correlation analysis with historical behavior can identify potential intentional contradictions before printing execution. For instance, users may have inadvertently set parameters inconsistent with historical practices for similar documents, effectively preventing printing errors caused by intentional deviations and reducing ineffective operations. The system automatically performs comparisons with historical behavior and conflict identification, eliminating the need for users to manually recall or verify past operating habits. By technically mining behavioral patterns, implicit user habits are transformed into explicit conflict determination criteria, effectively improving operational convenience. The user behavior association patterns accumulated during the similarity calculation process, such as the strong correlation between specific file features and specific requirement parameters, can effectively improve the personalized recommendation performance of the feedback printing system, making subsequent printing strategies more in line with the user's long-term behavioral logic and enhancing the intelligent interactive experience of the system.

[0098] In one embodiment of the present invention, the demand similarity value Sim between the current print file information and each historical print file included in the historical print record is used. 01 Sim and file feature similarity values 02 Determining whether a conflict of primary intent exists includes:

[0099] Retrieve the file feature similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 02 ;

[0100] Sim, the file feature similarity value 02 The similarity is compared with a preset first similarity threshold, wherein the value of the first similarity threshold is in the range of 0.93-0.97;

[0101] Extracting file feature similarity scores (Sim) from historical print records. 02 Historical print files with a similarity threshold not lower than the preset first similarity threshold are used as the first observation print files;

[0102] Sim retrieves the required similarity value between each first observed print file and the current print file information. 01 ;

[0103] Based on the required similarity value Sim between each first observed printed file and the current printed file information.01 Sim and file feature similarity values 02 Obtain the first intent conflict coefficient Among them, U 01 The first intention conflict coefficient is represented by n; the first observed print file contains the number of historical print files; S represents the number of historical print files contained in the first observed print file. im01i and S im02i These represent the demand similarity value and the file feature similarity value between the i-th historical print file contained in the first observed print file and the current print file, respectively; w 01 and w 02 These represent the weight values ​​corresponding to the numerical similarity of requirements and the numerical similarity of file features, respectively.

[0104] First intention conflict coefficient U 01 Compare with the preset first conflict coefficient threshold;

[0105] When the first intention conflict coefficient U 01 If the value is lower than the preset first conflict coefficient threshold, then a first intention conflict is determined to exist.

[0106] The working principle of the above technical solution is as follows: retrieve the file feature similarity value Sim between the current printed file and each file in the historical print record. 02 It compares it with a preset first similarity threshold to filter out Sim. 02 Historical printed files with a value not lower than this threshold are used as the first observed printed files to ensure that subsequent comparisons of historical files are highly similar to the current file in terms of file attributes. The calculated first intent conflict coefficient U... 01 Compare with the preset first conflict coefficient threshold. When the first intention conflict coefficient U 01 If the value is below this threshold, it indicates that the current printing needs deviate significantly from the printing habits of similar documents in the past, and it is determined that there is a conflict of intent.

[0107] The above technical solution achieves the following results: By using a high file feature similarity screening step, it first identifies historical printing cases that are highly consistent with the current file attributes. Then, based on these cases, it analyzes deviations in printing requirements, effectively avoiding interference from irrelevant historical data. This allows conflict determination to focus more on habitual differences among similar files, thereby significantly improving accuracy. Furthermore, it utilizes mathematical formulas to transform intentional conflicts into quantifiable U... 01 The coefficient elevates the qualitative judgment of whether a conflict exists to a quantitative analysis of the degree of conflict, effectively improving the accuracy of characterizing the deviation between current needs and historical habits, thus providing a more detailed basis for subsequent conflict resolution strategies. Furthermore, by introducing a weight w into the above formula... 01This effectively enhances the dynamic adaptability to different scenarios and user habits, allowing the influence of demand similarity to be adjusted according to different printing scenarios or user preferences. This enables conflict determination to dynamically adapt to diverse printing needs and user habits. The high setting of the first similarity threshold ensures a strong correlation between the first observed print file and the current file in terms of file characteristics. Based on this, analyzing deviations in printing demands can more rigorously identify situations where similar files use abnormal printing parameters, thereby reducing misjudgments caused by differences in file attributes. Simultaneously, the quantified first intent conflict coefficient U... 01 The coefficients can be systematically integrated with other conflict indicators, such as the second intention conflict of the equipment and material dimensions, so that the setting of the final printing strategy, such as the choice of conflict priority and resolution method, can effectively improve the rationality and adaptive adjustment capability of the entire laser printer intelligent execution system decision.

[0108] One embodiment of the present invention determines whether a second intent conflict exists based on the print demand parameter information and document feature data combined with the current printer terminal's equipment and material parameters, including:

[0109] Sim retrieves the demand similarity value between the current print file information and each historical print file contained in the historical print record. 01 ;

[0110] Sim, the similarity value of the requirements 01 The similarity is compared with a preset second similarity threshold, wherein the value of the second similarity threshold ranges from 0.83 to 0.88.

[0111] Filter out the requirement similarity value Sim from historical print records. 01 Historical print files with a similarity threshold not lower than the preset second similarity threshold are used as second observation print files and marked.

[0112] Retrieve the file feature similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 02 ;

[0113] Sim, the file feature similarity value 02 The similarity is compared with a preset third similarity threshold, wherein the value of the third similarity threshold ranges from 0.85 to 0.92;

[0114] Extracting file feature similarity scores (Sim) from historical print records. 02 Historical print files with a similarity level not lower than the preset third similarity threshold are used as the third observation print files and marked accordingly;

[0115] The second and third observation print files are compared, and historical print files that are simultaneously marked as both the second and third observation print files are selected as candidate print files.

[0116] Retrieve the device material parameters of the printing device corresponding to the candidate print file at the time of printing, and use the device material parameters of the printing device corresponding to the candidate print file at the time of printing to determine the device material vector E corresponding to the candidate print file. a =[e a01 e a02 ]; wherein, the equipment material parameters include the remaining amount of paper and the remaining amount of toner; and, e a01 and e a02 These represent the remaining paper and toner in the printing device corresponding to the candidate print file at the time of printing;

[0117] Retrieve the equipment material parameters from the current printing device, and use these parameters to determine the current equipment material vector E. b =[e b01 e b02 ]; where e b01 and e b02 These represent the current remaining paper and toner levels, respectively.

[0118] The current equipment material vector E b The model | E b |E corresponding to the equipment material vector for each candidate print file a The model | E a |Compare and filter those that satisfy|E a |≥0.87|E b |The candidate print files are used as the target print files based on the given conditions;

[0119] The actual consumable parameters of the target printed document are combined with the equipment material parameters to determine whether there is a conflict of intent.

[0120] The working principle of the above technical solution is as follows: Based on demand similarity filtering: retrieve the demand similarity value Sim between the current print file and each file in the historical print record. 01 The similarity is compared with a preset second similarity threshold to select Sim. 01 Historical files with a value not lower than this threshold are marked as the second observed print file. The file feature similarity score (Sim) between the current print file and each file in the historical print record is retrieved. 02 The similarity is compared with a preset third similarity threshold to select Sim. 02 Historical files that are not lower than this threshold are marked as third observation print files (focusing on historical cases with similar attributes to the current file).

[0121] The intersection of the second and third observed print files is used to obtain candidate print files that simultaneously satisfy both requirement similarity and feature similarity, ensuring a high degree of correlation and matching between the candidate files and the current file. The equipment and material parameters at the time of printing the candidate files and the material parameters of the current printing equipment are extracted respectively to construct the corresponding equipment and material vector E. a and equipment material vector E b By calculating the equipment material vector E a and equipment material vector E b The model (|E) a |、|E b |) Quantify the overall remaining material level of both. Candidate files are filtered based on the condition |Ea|≥0.87|Eb| to obtain the target print file that meets the overall remaining material level standard. Combining the actual consumable parameters of the target print file with the current equipment material parameters, a final determination is made as to whether there is a conflict with the secondary intent.

[0122] The above technical solution achieves the following results: By employing a dual screening method based on demand similarity and document feature similarity, it identifies historical cases that highly match the current printing needs in terms of operational logic and document attributes. This avoids reference document bias caused by single-dimensional screening; for example, focusing solely on demand parameters may overlook document specificity, and focusing solely on features may overlook operational differences, making subsequent consumable parameter comparisons more targeted. Simultaneously, analyzing consumable parameters based on the actual consumable parameters of the target print file, rather than solely relying on the theoretical consumption of the current demand parameters, more accurately reflects the actual requirements of similar printing tasks on equipment and materials. This reduces the misjudgment rate caused by discrepancies between theoretical and actual values, effectively improving the reliability of second-intent conflict determination. Furthermore, by directly comparing the consumable parameters of the target print file with the current equipment and materials, it can identify limitations in hardware functionality and material reserves in advance, ensuring that conflict determination covers all dimensions of equipment capabilities and avoiding high print interruption rates due to missing details. Meanwhile, the differentiated values ​​of the second similarity threshold (0.83-0.88) and the third similarity threshold (0.85-0.92) take into account the weight differences of demand parameters and file features in different printing scenarios, enabling the screening logic to adapt to diverse printing needs and improving the system's flexibility. Furthermore, the dual-dimensional screening approach of "demand similarity + file feature similarity," with dual threshold settings (0.83-0.88, 0.85-0.92), accurately identifies historical files highly relevant to the current file, effectively avoiding interference from irrelevant historical data and providing a high-quality data foundation for conflict determination. Simultaneously, through quantitative comparison of material vector models (0.87 multiplier), the objectivity and flexibility of the overall material level are balanced, further narrowing down the target file range and effectively reducing the false conflict rate. This ensures that the consumable parameter analysis of the target printing file not only serves conflict determination but also accumulates consumable consumption patterns for similar files, providing data support for intelligent consumable warnings and printing scheme optimization for printers, ultimately improving the resource utilization efficiency and intelligence level of the printing system.

[0123] One embodiment of the present invention uses the actual consumable parameters of the target printed document combined with the equipment material parameters to determine whether a second intent conflict exists, including:

[0124] Retrieve the actual consumable parameters of the target print file, wherein the actual consumable parameters include paper consumption and toner consumption;

[0125] Retrieve the equipment material parameters of the current printing device, wherein the equipment material parameters include the remaining amount of paper and the remaining amount of toner;

[0126] Sim, the requirement to retrieve the similarity score between the target print file and the current print file. 01 Sim and file feature similarity values 02 ;

[0127] Sim determines the demand similarity value between the actual consumable parameters of each target print file and the equipment material parameters in the current printing device, as well as the information of the target print file and the current print file. 01 Sim and file feature similarity values 02 Does it meet the preset constraints?

[0128] The constraints are as follows:

[0129] Among them, M d This indicates the paper usage corresponding to the printing requirement parameters of the current print file; R d This indicates the toner consumption corresponding to the printing requirement parameters of the current print file; M y and R y These represent the remaining paper and toner levels corresponding to the current printing device's material parameters; Sim 01m and Sim 02m M represents the requirement similarity value and file feature similarity value for each target print file, respectively; z and R z These represent the paper usage and toner usage for each target print file, respectively.

[0130] When the actual consumable parameters of each target print file are similar to the equipment material parameters in the current printing device and the demand similarity value between the target print file and the current print file information, Sim 01 Sim and file feature similarity values 02 If none of the preset constraints are met, then a second intention conflict is determined to exist.

[0131] The working principle of the above technical solution is as follows: The system acquires the following key data: the actual consumable parameters and toner usage of the target print file; the material parameters of the current printing device; and the similarity between the target print file and the current print file (Sim). 01m Sim file feature similarity 02m Then, the above parameters are substituted into the preset constraints for verification. If the parameter combinations corresponding to all target print files do not meet the above constraints, that is, the current demand for consumables consumption ratio exceeds the actual consumption ratio after weighting similar target files, then it is determined that there is a second intention conflict, that is, the current equipment materials may not be able to support the current printing demand.

[0132] The above technical solution achieves the following effects: By employing a dual logic of historical actual consumable data and similarity weighting, it ensures that reference cases are highly relevant to current printing needs while also estimating consumables based on actual historical consumption. This significantly reduces the error in determining consumable sufficiency, effectively preventing printing failures caused by theoretical feasibility but insufficient actual consumables. Furthermore, by covering both paper and toner consumption—two core consumable categories—and correlating remaining equipment resources with printing demand, it effectively improves the comprehensiveness of assessing equipment material capabilities, thus preventing printing interruptions caused by sufficient one consumable but insufficient another. Additionally, by introducing and weighting the demand similarity value and document feature similarity value corresponding to the target print document, the reference value of the target print document dynamically adjusts with the similarity level. This allows the judgment logic to adapt to printing needs in different scenarios; for example, the consumable reference value of highly similar contract documents is far higher than that of low-similarity temporary documents. Before printing, the matching and determination of equipment materials and requirements are completed in advance to avoid the risk of printing interruptions due to insufficient consumables, effectively reducing the waste rate of paper and toner caused by mid-printing failures. At the same time, it ensures the continuity of printing tasks and improves the utilization efficiency of consumable resources. Furthermore, the above-mentioned constraints provide a quantitative basis for subsequent conflict resolution strategies and effectively clarify the degree of consumable shortage, making the printing strategy settings more aligned with and targeted to the actual situation of the current printing equipment, thereby improving the intelligent decision-making level of the entire printing system.

[0133] One embodiment of the present invention includes formulating a conflict resolution strategy based on the determination results of a first intent conflict and a second intent conflict, setting a printing strategy based on the conflict resolution strategy and the user's historical behavior records, and obtaining a set printing scheme, including:

[0134] When there is no conflict between the user's current printing intention and the device material parameters of the current printer terminal, the printer is directly controlled to perform the printing operation.

[0135] When there is only one conflict between the user's current printing intention and the device material parameters of the current printer terminal, namely the first intention conflict and the second intention conflict, the printing strategy is set by combining the first conflict resolution strategy with the user's historical behavior records to obtain the set printing scheme.

[0136] When there is a conflict between the user's current printing intention and the device material parameters of the current printer terminal, both a first intention conflict and a second intention conflict exist, the second conflict resolution strategy is used in conjunction with the user's historical behavior records to set the printing strategy and obtain the set printing scheme.

[0137] The working principle of the above technical solution is as follows: When the system determines that the current printing intention does not conflict with either the first or second intention, no additional adjustments are needed; the printer is directly triggered to perform the printing operation, achieving seamless integration between the demand and the device. When only one of the first or second intention conflicts exists, the first conflict resolution strategy is activated. This strategy is designed for the characteristics of a single conflict type. For example, for the first intention conflict, it focuses on parameter adjustments to align with historical habits; for the second intention conflict, it focuses on demand adaptation within the device's capabilities. Simultaneously, it combines the user's historical behavior records of similar conflict resolution preferences—for example, if the user previously tended to reduce the number of copies rather than change the paper type when paper was insufficient—to generate a printing strategy that balances conflict resolution and user habits, forming a set printing plan. When both the first and second intention conflicts exist simultaneously, the second conflict resolution strategy is activated. This strategy integrates the resolution logic of both types of conflicts, combined with the user's historical behavior patterns in handling dual conflicts—for example, if the user prioritizes efficiency, it prioritizes meeting device constraints; if they prioritize results, it prioritizes adjusting habitual deviations—to generate a comprehensive printing plan that balances the two contradictions, ensuring that the plan is both feasible and aligns with the user's potential preferences.

[0138] The effects of the above technical solution are as follows: By implementing a direct execution mechanism in conflict-free scenarios, unnecessary strategy calculations and user intervention are reduced, shortening the response time from request initiation to print execution, thereby improving the overall efficiency of the printing process. The hierarchical processing logic effectively avoids the one-sidedness of fixed strategies, allowing system resources to focus more on resolving actual conflicts. Differentiated strategies are designed for single and dual conflicts, enabling the solution to accurately match the complexity of the conflict. Specifically, for single conflicts, the strategy focuses on avoiding over-adjustment; for dual conflicts, the strategy comprehensively considers multiple contradictions. Furthermore, by combining user historical behavior records with preference analysis, the deviation between the strategy and user expectations is further reduced, improving the effectiveness of conflict resolution. Simultaneously, through deep integration of historical behavior records, the printing strategy not only resolves conflicts but also aligns with users' long-established operating habits and preferences, such as priority processing modes for specific document types and decision-making tendencies during conflicts. This reduces the need for secondary adjustments to automatically generated solutions, lowers operating costs, and achieves a personalized printing experience tailored to the user. In dual-conflict scenarios, prioritization and comprehensive strategies ensure that the final solution fully adapts to the current printer's material status and functional limitations while meeting user intent, reducing the risk of printing failures or interruptions from the outset. Furthermore, the hierarchical strategy framework in this embodiment possesses excellent scalability, dynamically adjusting the specific logic of the first and second conflict resolution strategies based on new conflict types or user needs. Continuous accumulation of historical behavior records continuously optimizes the strategy's adaptation accuracy, enabling the system's intelligent decision-making capabilities to evolve over time and adapt to more diverse printing scenarios.

[0139] In one embodiment of the present invention, the first conflict resolution strategy is as follows:

[0140] Sim retrieves the required similarity values ​​between each historical print file contained in the first observation print file and the current print file. 01 Sim and file feature similarity values 02 ;

[0141] The Sim value, representing the required similarity between each historical print file and the current print file information contained in the first observed print file, is used. 01 Sim and file feature similarity values 02 Obtain the first observation coefficients of each historical print file contained in the first observation print file. Among them, G 01 Indicates the first observed coefficient; Sim 01y This represents the preset second similarity threshold;

[0142] The first observation coefficient of each historical print file contained in the first observation print file is compared with the preset first observation coefficient threshold.

[0143] Retrieve the printing requirement parameter information of historical print files whose first observation coefficient exceeds the preset first observation coefficient threshold;

[0144] Select the optimal demand parameter corresponding to each parameter type in the printing demand parameter information of historical print files whose first observation coefficient exceeds the preset first observation coefficient threshold.

[0145] The optimal requirement parameters corresponding to each parameter type are integrated into a printing strategy, and the integrated printing strategy is used as the setting printing scheme.

[0146] The working principle of the above technical solution is as follows: Retrieve the demand similarity and file feature similarity between each file in the first observation print file and the current file; substitute these into the first observation coefficient calculation formula, and calculate the first observation coefficient model for each historical file. Through a Sigmoid function structure, the deviation between demand similarity and the threshold is transformed into an adjustment of the file feature similarity weight, quantifying the reference value of historical files for the current printing demand. The first observation coefficients G of each historical file are then... 01 The first observation coefficient G is selected by comparing it with the preset first observation coefficient threshold. 01Historical print files exceeding the threshold are identified; print requirement parameters for these files are extracted, such as single / double-sided printing, number of copies, and resolution. Parameters of the same type (e.g., single / double-sided printing mode and number of copies) from the selected historical files are analyzed, and the optimal requirement parameter for each type is selected. For example, the value with the best print quality and highest user satisfaction in the history for that parameter type is chosen. The optimal values ​​for all parameter types are then integrated to form the final print configuration plan.

[0147] The effect of the above technical solution is as follows: It calculates the similarity between requirements and file features using a formula, integrating these with a preset threshold, and using a continuous first observation coefficient G. 01 Quantifying the reference value of each historical file to the current needs avoids limitations in historical file selection, allowing subsequent parameter extraction to focus more on high-value historical cases and effectively improving the accuracy of strategy generation. Simultaneously, the optimal values ​​for parameters in the selected historical files are selected and integrated by type, extracting the optimal values ​​for each printing parameter from historical experience, such as the clearest resolution and the most habitual single / double-sided printing mode. This resolves current conflicts while optimizing printing effects and efficiency. Furthermore, the first observed print file is a historical case with high similarity to the current file. Observation coefficients are then used to filter demand similarity cases that match thresholds, ensuring that the final parameters both continue the user's printing habits for similar files and align with preferences for demand parameter dimensions, effectively reducing the user's cognitive and adjustment costs. The entire process, from observation coefficient calculation to optimal parameter integration, is automated, requiring no manual user intervention. This significantly shortens the conflict resolution cycle, allowing the printing process to quickly transition from a conflict state to an executable state, improving overall printing efficiency. The demand similarity value Sim in the formula... 01 Sim and file feature similarity values 02 The real-time participation of the system allows the observation coefficients to change dynamically with the specific needs of each print, enabling the strategy generation logic to adapt to the differences in printing needs in different scenarios and effectively breaking through the adaptation limitations caused by fixed rules.

[0148] In one embodiment of the present invention, the second conflict resolution strategy is as follows:

[0149] Sim retrieves the required similarity scores between each historical print file contained in the target print file and the current print file. 01 Sim and file feature similarity values 02 ;

[0150] Sim uses the demand similarity value between each historical print file and the current print file information. 01 Sim and file feature similarity values 02 Obtain the second observation coefficients for each historical print file contained in the target print file. Among them, G01 Indicates the first observed coefficient; Sim 01y This represents the preset second similarity threshold; Sim 01m and Sim 02m These represent the requirement similarity value and the file feature similarity value for each target print file, respectively; Sim 02z This represents the preset third similarity threshold;

[0151] The second observation coefficient of each historical print file contained in the target print file is compared with a preset second observation coefficient threshold.

[0152] Retrieve the printing requirement parameter information of historical print files whose second observation coefficient exceeds the preset second observation coefficient threshold;

[0153] Select the lowest required parameter for each parameter type in the print requirement parameter information of historical print files whose observed coefficients exceed the preset observed coefficient threshold;

[0154] The minimum required parameters corresponding to each parameter type are integrated into a printing strategy, and the integrated printing strategy is used as the setting printing scheme.

[0155] The working principle of the above technical solution is as follows: Obtain the required similarity and file feature similarity between each file in the target print file and the current file, as well as preset second and third similarity thresholds. Substitute these parameters into the above formula to calculate the second observation coefficient G for each target print file. 02 This formula quantifies the reference value of a target file for the current printing requirement in a dual-conflict scenario by fusing the difference between file feature similarity and a third threshold, and the deviation between requirement similarity and a second threshold. The second observation coefficient G of each target file is then used. 02 The second observation coefficient G is selected by comparing it with the preset second observation coefficient threshold. 02 Historical print files exceeding the threshold are identified; print requirement parameter information is extracted from these files, and for each parameter type, the lowest required parameter is selected—that is, the parameter value that minimizes equipment material consumption and most easily meets equipment capabilities. The lowest required parameters for all parameter types are then integrated to form a customized printing scheme that resolves both the dual conflicts and adapts to both equipment and material requirements.

[0156] The effect of the above technical solution is as follows: by fusing demand similarity and file feature similarity with dual thresholds using a formula, and using a continuous second observation coefficient G... 02Accurately assessing the reference weight of the target print file in a dual-conflict scenario avoids the limitations of single-dimensional screening, ensuring that subsequent parameter extraction focuses on the most suitable historical cases. Simultaneously, selecting the lowest required parameters for each parameter type minimizes the consumption of paper, toner, and other materials during printing, or reduces high demands on equipment functionality, fundamentally resolving the second intent conflict. This provides a low-consumption and easily executable parameter foundation for resolving the first intent conflict, ensuring the feasibility of the printing solution under dual-conflict conditions. The target print file itself is a historical case similar to the current file in terms of needs and characteristics. Based on this, low-consumption parameters are extracted, leveraging historical behavioral data to ensure the solution aligns with the user's long-term operational logic, and achieving a balance between user habits and equipment feasibility by adapting to equipment capabilities with the lowest required parameters. The entire process, from observation coefficient calculation to low-consumption parameter integration, is automated, eliminating the need for manual intervention in complex conflict coordination and parameter adjustments. This significantly shortens the strategy generation cycle under dual-conflict conditions, allowing the printing process to quickly return to an executable state and improving overall printing efficiency. Meanwhile, the requirement similarity value and file feature similarity value corresponding to each target print file in the formula are similarity parameters calculated in real time, so that the second observation coefficient changes dynamically with the specific requirements of each print, allowing the strategy generation logic to adapt to the differences in different dual conflict scenarios and avoid the adaptation rigidity caused by fixed rules.

[0157] This invention proposes a semantic understanding-based intelligent execution system for laser printers, such as... Figure 2 As shown, the intelligent execution system for the laser printer includes:

[0158] The feature information acquisition module is used to collect the user's voice input information and printed text information in real time through the printer control terminal, preprocess the voice input information and printed text information, perform semantic analysis on the preprocessed voice input information and printed text information, and obtain the user's current printing requirement parameter information and file feature data through semantic analysis;

[0159] The first conflict determination module is used to retrieve historical printing records from the cloud platform and determine whether there is a first intention conflict based on the printing requirement parameter information and file feature data combined with the historical printing records.

[0160] The second conflict determination module is used to determine whether there is a second intention conflict based on the printing requirement parameter information and file feature data combined with the current printer terminal's equipment and material parameters.

[0161] The printing scheme setting module is used to formulate a conflict resolution strategy based on the determination result of the first intention conflict and the second intention conflict, set the printing strategy based on the conflict resolution strategy and the user's historical behavior records, and obtain the set printing scheme.

[0162] The print confirmation and conflict warning module is used to send the set print scheme to the user for confirmation, and execute the print operation after receiving the user's confirmation information. If no user confirmation information is received, a print conflict alarm is issued through the printer control terminal.

[0163] The working principle of the above technical solution is as follows: the user's voice input information and printed text information are obtained in real time through the printer control terminal. The two types of information are preprocessed first, and then semantic parsing technology is used to perform in-depth analysis on the preprocessed information. The user's printing intention is extracted from the voice. The printing intention is actually the user's intention to print the document according to the printing parameters. The document features are extracted from the text, and finally the user's current printing requirement parameter information and document feature data are accurately obtained.

[0164] On one hand, the extracted print request parameters and file feature data are compared and analyzed with the user's historical printing records to determine if there is a conflict between the current request and the user's past printing habits. On the other hand, the above parameters are matched with the current printer terminal's equipment and material parameters to determine if the current request exceeds the printer's hardware and material capacity. Based on the actual situation of the first and second intent conflicts, combined with the preset conflict resolution strategy and the user's historical behavior records, an appropriate printing plan is generated, which resolves the identified conflicts and conforms to the user's usage habits. The set printing plan is sent to the printer control terminal for user confirmation. If user confirmation is received, the printer terminal immediately executes the printing operation; if no confirmation is received (e.g., the user does not provide timely feedback or has objections to the plan), a printing conflict alarm is triggered through the printer control terminal to remind the user to handle the conflict.

[0165] The above technical solution achieves the following results: By simultaneously collecting voice and text information and performing semantic analysis, compared to recognition methods based on single information input, it can more comprehensively capture user printing needs, avoid misjudgments of needs due to fragmented information, significantly improve the completeness and accuracy of obtaining printing requirement parameters and document feature data, and reduce printing errors caused by misunderstandings of needs. Conflict determination through a dual dimension of historical records and equipment / materials not only covers the consistency of needs at the user's behavioral habit level but also takes into account the actual limitations of printer hardware and materials, proactively mitigating potential risks and ensuring the continuity of the printing process. Furthermore, by combining conflict resolution strategies with user historical behavior records, the solution not only efficiently resolves conflicts but also aligns with users' long-term usage habits, reducing the operational costs of manually adjusting parameters and achieving personalized printing for individual users, effectively improving the ease of use of printing equipment. Furthermore, this embodiment requires user confirmation before execution to avoid discrepancies between the automatically set scheme and the user's final intention, reducing the incidence of paper, toner / carbon powder waste due to misprints. Conflict alarms when no confirmation is received promptly remind the user to address issues, preventing printing delays due to missing information and effectively improving the user's control over the printing process and the reliability of the interaction. In addition, by resolving conflicts in advance and reducing printing errors and duplicate printing, the time lost due to printing interruptions is effectively reduced, improving printer efficiency; simultaneously, it reduces consumable waste and lowers user operating costs.

[0166] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A semantic understanding-based intelligent execution method for laser printers, characterized in that, The intelligent execution method for the laser printer includes: The printer control terminal collects the user's voice input information and printed text information in real time, preprocesses the voice input information and printed text information, performs semantic analysis on the preprocessed voice input information and printed text information, and obtains the user's current printing requirement parameter information and file feature data through semantic analysis. Retrieve historical print records from the cloud platform, and determine whether there is a conflict with the first intent based on the print requirement parameter information and file feature data combined with the historical print records; Based on the print requirement parameter information and file feature data, combined with the current printer terminal's equipment and material parameters, it is determined whether there is a second intent conflict; Based on the determination of the conflict between the first intent and the second intent, a conflict resolution strategy is formulated. Based on the conflict resolution strategy and the user's historical behavior records, a printing strategy is set, and a printing scheme is obtained. The printer sends the set printing scheme to the user for confirmation, and executes the printing operation after receiving the user's confirmation. If the user's confirmation is not received, a printing conflict alarm is triggered through the printer control terminal. The process includes: formulating a conflict resolution strategy based on the determination of a conflict between the first and second intentions; setting a printing strategy based on the conflict resolution strategy and the user's historical behavior records; and obtaining and setting a printing scheme, including: When there is no conflict between the user's current printing intention and the device material parameters of the current printer terminal, the printer is directly controlled to perform the printing operation. When there is only one conflict between the user's current printing intention and the device material parameters of the current printer terminal, namely the first intention conflict and the second intention conflict, the printing strategy is set by combining the first conflict resolution strategy with the user's historical behavior records to obtain the set printing scheme. When there is a conflict between the user's current printing intention and the device material parameters of the current printer terminal, both a first intention conflict and a second intention conflict exist, the second conflict resolution strategy is used in conjunction with the user's historical behavior records to set the printing strategy and obtain the set printing scheme.

2. The intelligent execution method for laser printers according to claim 1, characterized in that, The printer control terminal collects user voice input and printed text information in real time, preprocesses the voice input and printed text information, performs semantic analysis on the preprocessed voice input and printed text information, and obtains the user's current printing requirement parameters and file feature data through semantic analysis, including: The voice acquisition component deployed through the printer control terminal collects the user's voice input information in real time and converts the voice input information into voice-text data. Semantic analysis is performed on the speech and text data to obtain the printing requirement parameters contained in the speech input information. The printing requirement parameters include single-sided and double-sided printing, number of copies, printing range, printing scaling ratio, color printing and black and white printing, and printing resolution parameters. The text input component deployed in the printer control terminal collects the user's printed text information in real time. Semantic analysis is performed on the printed text information to obtain file feature data, wherein the file feature data includes, but is not limited to, document title, document type, keywords, and page layout.

3. The intelligent execution method for laser printers according to claim 1, characterized in that, Based on the print requirement parameters and file feature data, combined with historical print records, it is determined whether there is a conflict with the first intent, including: Retrieve the printing request parameters and file characteristic data for each file printout from the user's historical print records; The similarity score Sim is obtained by comparing the print request parameters corresponding to the current print file with those corresponding to each historical print file in the historical print record. 01 ; The file feature data corresponding to the current printed file information is compared with the file feature data corresponding to each historical printed file contained in the historical print record to obtain the file feature similarity value Sim between the file feature data corresponding to the current printed file information and the file feature data of each historical printed file contained in the historical print record. 02 ; Based on the demand similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 01 Sim and file feature similarity values 02 Determine whether there is a conflict of primary intent.

4. The intelligent execution method for laser printers according to claim 3, characterized in that, Based on the demand similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 01 Sim and file feature similarity values 02 Determining whether a conflict of primary intent exists includes: Retrieve the file feature similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 02 ; Sim, the file feature similarity value 02 The similarity is compared with a preset first similarity threshold, wherein the value of the first similarity threshold is in the range of 0.93-0.97; Extracting file feature similarity scores (Sim) from historical print records. 02 Historical print files with a similarity threshold not lower than the preset first similarity threshold are used as the first observation print files; Sim retrieves the required similarity value between each first observed print file and the current print file information. 01 ; Based on the required similarity value Sim between each first observed printed file and the current printed file information. 01 Sim and file feature similarity values 02 Obtain the first intent conflict coefficient U 01 ; First intention conflict coefficient U 01 Compare with the preset first conflict coefficient threshold; When the first intention conflict coefficient U 01 If the value is lower than the preset first conflict coefficient threshold, then a first intention conflict is determined to exist.

5. The intelligent execution method for a laser printer according to claim 1, characterized in that, Based on the print demand parameter information and file characteristic data, combined with the current printer terminal's equipment and material parameters, it is determined whether there is a second intent conflict, including: Sim retrieves the demand similarity value between the current print file information and each historical print file contained in the historical print record. 01 ; Sim, the similarity value of the requirements 01 The similarity is compared with a preset second similarity threshold, wherein the value of the second similarity threshold ranges from 0.83 to 0.

88. Filter out the requirement similarity value Sim from historical print records. 01 Historical print files with a similarity threshold not lower than the preset second similarity threshold are used as second observation print files and marked. Retrieve the file feature similarity value Sim between the current printed file information and each historical printed file contained in the historical print record. 02 ; Sim, the file feature similarity value 02 The similarity is compared with a preset third similarity threshold, wherein the value of the third similarity threshold is in the range of 0.85-0.92; Extracting file feature similarity scores (Sim) from historical print records. 02 Historical print files with a similarity level not lower than the preset third similarity threshold are used as the third observation print files and marked accordingly; The second and third observation print files are compared, and historical print files that are simultaneously marked as both the second and third observation print files are selected as candidate print files. Retrieve the device material parameters of the printing device corresponding to the candidate print file at the time of printing, and use the device material parameters of the printing device corresponding to the candidate print file at the time of printing to determine the device material vector E corresponding to the candidate print file. a =[e a01 e a02 ]; wherein, the equipment material parameters include the remaining amount of paper and the remaining amount of toner; and, e a01 and e a02 These represent the remaining paper and toner in the printing device corresponding to the candidate print file at the time of printing; Retrieve the equipment material parameters from the current printing device, and use these parameters to determine the current equipment material vector E. b =[e b01 e b02 ]; where e b01 and e b02 These represent the current remaining paper and toner levels, respectively. The current equipment material vector E b The model | E b |E corresponding to the equipment material vector for each candidate print file a The model | E a Compare and filter those that satisfy E. a |≥0.87|E b |The candidate print files are used as the target print files based on the given conditions; The actual consumable parameters of the target printed document are combined with the equipment material parameters to determine whether there is a conflict of intent.

6. The intelligent execution method for a laser printer according to claim 5, characterized in that, Determining whether a second intent conflict exists by combining the actual consumable parameters of the target print file with the equipment material parameters includes: Retrieve the actual consumable parameters of the target print file, wherein the actual consumable parameters include paper consumption and toner consumption; Retrieve the equipment material parameters of the current printing device, wherein the equipment material parameters include the remaining amount of paper and the remaining amount of toner; Sim, the requirement to retrieve the similarity score between the target print file and the current print file. 01 Sim and file feature similarity values 02 ; Sim determines the demand similarity value between the actual consumable parameters of each target print file and the equipment material parameters in the current printing device, as well as the information of the target print file and the current print file. 01 Sim and file feature similarity values 02 Does it meet the preset constraints? When the actual consumable parameters of each target print file are similar to the equipment material parameters in the current printing device and the demand similarity value between the target print file and the current print file information, Sim 01 Sim and file feature similarity values 02 If none of the preset constraints are met, then a second intention conflict is determined to exist.

7. The intelligent execution method for a laser printer according to claim 1, characterized in that, The first conflict resolution strategy is as follows: Sim retrieves the required similarity values ​​between each historical print file contained in the first observation print file and the current print file. 01 Sim and file feature similarity values 02 ; The Sim value, representing the required similarity between each historical print file and the current print file information contained in the first observed print file, is used. 01 Sim and file feature similarity values 02 Obtain the first observation coefficients for each historical print file contained in the first observation print file; The first observation coefficient of each historical print file contained in the first observation print file is compared with the preset first observation coefficient threshold. Retrieve the printing requirement parameter information of historical print files whose first observation coefficient exceeds the preset first observation coefficient threshold; Select the optimal demand parameter corresponding to each parameter type in the printing demand parameter information of historical print files whose first observation coefficient exceeds the preset first observation coefficient threshold. The optimal requirement parameters corresponding to each parameter type are integrated into a printing strategy, and the integrated printing strategy is used as the setting printing scheme.

8. The intelligent execution method for a laser printer according to claim 1, characterized in that, The second conflict resolution strategy is as follows: Sim retrieves the required similarity scores between each historical print file contained in the target print file and the current print file. 01 Sim and file feature similarity values 02 ; Sim uses the demand similarity value between each historical print file and the current print file information. 01 Sim and file feature similarity values 02 Obtain the second observation coefficients for each historical print file contained in the target print file; The second observation coefficient of each historical print file contained in the target print file is compared with a preset second observation coefficient threshold. Retrieve the printing requirement parameter information of historical print files whose second observation coefficient exceeds the preset second observation coefficient threshold; Select the lowest required parameter for each parameter type in the print requirement parameter information of historical print files whose observed coefficients exceed the preset observed coefficient threshold; The minimum required parameters corresponding to each parameter type are integrated into a printing strategy, and the integrated printing strategy is used as the setting printing scheme.

9. A semantic understanding-based intelligent execution system for a laser printer, characterized in that, The intelligent execution system for the laser printer includes: The feature information acquisition module is used to collect the user's voice input information and printed text information in real time through the printer control terminal, preprocess the voice input information and printed text information, perform semantic analysis on the preprocessed voice input information and printed text information, and obtain the user's current printing requirement parameter information and file feature data through semantic analysis; The first conflict determination module is used to retrieve historical printing records from the cloud platform and determine whether there is a first intention conflict based on the printing requirement parameter information and file feature data combined with the historical printing records. The second conflict determination module is used to determine whether there is a second intention conflict based on the printing requirement parameter information and file feature data combined with the current printer terminal's equipment and material parameters. The printing scheme setting module is used to formulate a conflict resolution strategy based on the determination results of the first intention conflict and the second intention conflict, set the printing strategy based on the conflict resolution strategy and the user's historical behavior records, and obtain the set printing scheme. The print confirmation and conflict warning module is used to send the set print scheme to the user for confirmation, and to perform the print operation after receiving the user's confirmation information. If the user's confirmation information is not received, a print conflict alarm is triggered through the printer control terminal. The process includes: formulating a conflict resolution strategy based on the determination of a conflict between the first and second intentions; setting a printing strategy based on the conflict resolution strategy and the user's historical behavior records; and obtaining and setting a printing scheme, including: When there is no conflict between the user's current printing intention and the device material parameters of the current printer terminal, the printer is directly controlled to perform the printing operation. When there is only one conflict between the user's current printing intention and the device material parameters of the current printer terminal, namely the first intention conflict and the second intention conflict, the printing strategy is set by combining the first conflict resolution strategy with the user's historical behavior records to obtain the set printing scheme. When there is a conflict between the user's current printing intention and the device material parameters of the current printer terminal, both a first intention conflict and a second intention conflict exist, the second conflict resolution strategy is used in conjunction with the user's historical behavior records to set the printing strategy and obtain the set printing scheme.

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