776 results about "Template based" patented technology

The invention discloses a human resource data natural language query and SQL generation method and system, and relates to the technical field of SQL generation, and the method comprises the steps: preprocessing a natural language query text input by a user, and constructing a query semantic tree; traversing the query semantic tree to generate a candidate entity set, determining an unambiguous entity through a three-layer ambiguity resolution mechanism of semantic scoring, service verification and cross validation, identifying a composite intention, disassembling the composite intention into a sub-intention sequence, and generating an SQL operation instruction set in combination with a preset SQL operation mapping rule; based on the SQL operation instruction set and the human resource data association model, determining a data table set and an association path, generating a dynamic calculation logic and structured condition expression, and constructing a structured query skeleton; according to the method, the personalized SQL template is dynamically generated according to the query skeleton, after filling, grammar verification, strategy optimization and logic consistency verification are performed, and the optimized SQL statement is output, so that the query accuracy and performance are remarkably improved.

According to the automatic software development method and device and the computer program, intelligent demand analysis is achieved through a natural language processing technology, dynamic task arrangement is conducted through a finite state automaton, collaborative development is completed by means of a multi-specialized role agent, intelligent verification is implemented based on a template matching mechanism, and the development efficiency is improved. And a complete automatic closed loop from demand to delivery is constructed. According to the scheme, full-process automation is realized, manual intervention is greatly reduced, and the development efficiency is remarkably improved; through division and cooperation of multiple agents, the professionality and decision-making quality of each link are ensured, and the capability limitation of a single agent is overcome; flexible and reliable process control is provided based on state machine management, and development state changes are dynamically adapted; and the standard consistency of the delivery result is ensured by combining template verification. According to the method, the problems of long development period, large quality fluctuation and the like caused by chain splitting, low intelligent level and excessive dependence on manpower of an existing development tool are effectively solved, and a feasible path is provided for comprehensive intelligence of software development.

The invention discloses a page generation method, system and device and a medium, and the method comprises the steps: obtaining page demand content and target page configuration through responding to a page generation instruction of a target field; obtaining a component knowledge base of the target field and a layout rule base configured by the target page; extracting a target component demand set, a target layout demand and a target priority demand from the page demand content; matching in a component knowledge base according to the target component demand set to obtain a corresponding candidate component set; matching in a layout rule base according to the target layout requirement to obtain a corresponding layout template; generating a target layout scheme according to the candidate component set and the layout template based on the target priority demand; the target page is generated according to the target layout scheme, automatic configuration and generation of the page can be achieved through natural language analysis and intelligent matching logic, and then page configuration and deployment are rapidly completed.

The invention provides a legal text generation proofreading method and system based on a large model, and relates to the technical field of computer information processing. The method comprises the following steps: firstly, acquiring an input case text, and matching a corresponding target legal instrument template based on a preset legal instrument template library; secondly, calling a pre-trained large language model according to a format requirement, and generating a first-edition legal document; based on a pre-stored legal knowledge graph, performing internal logic and legal basis consistency verification on the first-edition legal document to obtain a consistency verification result; and finally, according to a consistency verification result, locating conflicts and errors existing in the first-edition legal document so as to generate a proofreading report containing targeted modification suggestions. According to the technical scheme provided by the invention, the legal document with a standard format can be automatically generated, logic and legal reference errors in the legal document can be intelligently detected, and specific modification suggestions are provided, so that the document quality and the generation efficiency are improved.

An image decoding method performed by a decoding device includes: obtaining image information including prediction-related information from a bitstream; determining whether combined inter-picture merge and intra-picture prediction (CIIP) is applied to a current block, on the basis of the prediction-related information; deriving a prediction sample of the current block on the basis of it being determined that the CIIP is applied to the current block; and generating a reconstructed sample of the current block on the basis of the prediction sample, wherein the prediction sample of the current block is derived on the basis of an intra prediction sample and an inter prediction sample, wherein the intra prediction sample is derived on the basis of an intra prediction mode, wherein the intra prediction mode is derived on the basis of a decoder side intra mode derivation (DIMD) mode or a template-based inter mode derivation (TIMD) mode.

The invention discloses a public opinion home address standardization method and system, and the method comprises the following steps: S1, obtaining and processing multi-source address original data to obtain an address data block, processing the data block based on a pre-trained text embedding model to obtain a corresponding semantic vector, and storing the address data block and the corresponding semantic vector, establishing a multi-source address knowledge base; s2, processing public opinion text data through the text embedding model to obtain a query vector of the public opinion text data; s3, querying the multi-source address knowledge base based on the query vector to obtain a plurality of address data blocks related to the query vector; and S4, constructing a cue word template based on the public opinion text data and the address data blocks, and inputting the cue word template into a large language model to perform public opinion attribution address standardization analysis.

The invention relates to the crossing field of artificial intelligence technology and e-government, and discloses an e-government enterprise service intelligent response method based on AI cue word engineering, comprising: constructing and maintaining a government knowledge graph and a scenarized cue word template library; receiving and analyzing a service request input by an enterprise, and extracting an enterprise feature tag and a business intention; selecting a target cue word template based on the matching degree of the enterprise feature tag and the scene tag of the template in the scene cue word template library, and generating an adapted cue word template; retrieving associated knowledge data from the government affair knowledge graph according to the service request, and filling the adapted cue word template with the retrieved associated knowledge data to generate a structured cue word; inputting the structured cue word into an AI model to drive the AI model to generate a government affair service response; and collecting multi-dimensional evaluation feedback of government affair service response, and carrying out iterative optimization. The demand understanding precision is improved, and the risk of core information misjudgment is reduced.

The invention discloses a handwritten table structure recognition and Excel cooperative processing method and system, relates to the technical field of computer vision, and comprises the steps of image preprocessing, table structure recognition, cell positioning, content recognition, Excel template analysis and text mapping. The system preprocesses the input image; respectively extracting horizontal and vertical lines based on morphological operation, and identifying a logic rank range of the merged cells; calculating a cell pixel bounding box through the cross points, and carrying out logic sorting and interference filtering; independently cutting each cell and calling a handwriting OCR (Optical Character Recognition) engine to extract text content; matching a preset Excel template according to the header or the code, and analyzing the coordinates of the combined and non-combined cells of the Excel template; and accurately mapping the identification content to the corresponding position of the Excel based on the row and column logic sequence numbers by taking the anchor point cell as a reference, and generating a spreadsheet. According to the method, the problems of inaccurate merging cell recognition, content dislocation and the like are effectively solved, and the electronization precision and efficiency of the handwritten form are remarkably improved.

The invention relates to the technical field of artificial intelligence, in particular to a large model dialogue management method and device.The method comprises the steps that dialogue information of a user input dialogue initiated by a user to a large model is intercepted; obtaining user information corresponding to a user; filling the first cue word template based on dialogue information of a dialogue input by a user and user information to obtain a first cue word; sending the first cue word as first-round user input dialogue information to the large model, so that the large model generates large model output dialogue information for the first-round user input dialogue based on the first cue word; and in response to establishment of the update trigger condition, updating the user contour information based on the historical round dialogue of the current session and / or the dialogue content of the current round dialogue. According to the method, the structured user background information is provided for the large model at the beginning of the dialogue, so that the reply accuracy and pertinence of the large model are remarkably improved, and cross-session personalized interaction experience is realized.

The embodiment of the invention discloses a process template generation method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a process generation demand of a user, and determining structured process logic description information based on the process generation demand, a preset process design cue word and a preset large language model; generating cue words and a preset large language model based on the process logic description information, a preset process template, and determining a first process template required by the user; performing rule verification on the first process template based on a preset verification plug-in, and determining a verification result; and if the verification result is that the verification is not passed, adjusting the first process template by utilizing a preset large language model, and determining a second process template required by the user. Through the technical scheme of the embodiment of the invention, the executable process template can be directly generated according to the demand described by the natural language, the node attribute and the logic relationship do not need to be manually configured, and the generality, the efficiency and the accuracy of the process template generation are improved.

The invention discloses an intelligent workflow generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining multi-modal demand information inputted by a user, carrying out the semantic understanding of the multi-modal demand information, and obtaining a semantic tag set and a workflow node link; according to the semantic tag set and the workflow node link, screening a basic template matched with the multi-modal demand information from a plurality of workflow generation templates, and expanding nodes in the basic template to obtain a target template; and acquiring hardware resource information of the user equipment, adjusting the node configuration information in the target template, and generating a target workflow file according to the adjusted target template. According to the technical scheme provided by the embodiment of the invention, the technical difficulty of a workflow generation scheme can be reduced, the generation efficiency of the workflow and the quality of a workflow generation result are improved, the problem that the template cannot normally operate due to the fact that the hardware of the user equipment is not supported or the plug-in is missing is avoided, and the workflow can smoothly fall to the ground.

The invention discloses a shaping template positioning method based on a BIM matching algorithm and pre-assembly optimization, and the method comprises the steps: reading a corrected BIM and a field point cloud, and constructing a stage freezing boundary; generating candidate hole positions by using three-point reference and one-circle two-slot holes, and completing reachable, interference and processing constraint checking; according to alignment of the drifting main shaft and the normal direction, the long hole is orthogonally provided with a limit and a backstop in the same direction and distributes slippage; an assembly chain for round hole initial insertion, pushing insertion along the main shaft and final hole locking is made; and a template processing drawing, an operation card, positioning parameters and deviation statistics are output, and one-time positioning under the complex working condition is achieved.

The invention discloses a message processing method and device and electronic equipment. The method comprises the steps that a message processing template is generated based on object information and service information, and the object information is attribute information of an object for message transmission; the template content of the message processing template is verified multiple times, a first verification result of the message processing template is obtained, multiple times of verification comprise integrity verification and safety verification, the integrity verification is used for verifying whether the message processing template comprises service information or not, and the safety verification is used for verifying whether transmission of the message processing template is safe or not; generating a target message based on a message processing template and a preset generation rule under the condition that the first verification result is successful verification; performing accuracy verification on the target message to obtain a second verification result of the target message; and processing the target message based on the second verification result. According to the invention, the technical problem of low message processing efficiency in related technologies is solved.

The embodiment of the invention provides an association identification method and device, equipment, a storage medium and a program product, and relates to the field of big data and financial science and technology. The method comprises the steps of obtaining business data of a target object; based on the business data, a semantic baseline of a preset element corresponding to the target object is constructed, and the semantic baseline comprises a relation type set, a role type set and a constraint rule set; generating a path template based on the semantic baseline; based on the path template, an initial path meeting the semantic baseline is obtained through mining in a preset knowledge graph, a target path of the target object is obtained through closed-loop consistency verification, and the target path is used for representing the incidence relation corresponding to the target object. According to the method, path search is prevented from being separated from compliance semantics, and the error recognition rate is reduced. A logic closed loop of path search and compliance verification is ensured, limitations on semantic expression, path search and evidence chain recheck are solved, and the accuracy and traceability of associated transaction identification are remarkably improved.

The invention relates to the technical field of intelligent safety monitoring, and discloses a fire hazard identification method and system based on a multi-modal large model. According to the method, standardized preprocessing is carried out on field multi-modal data through a unified timestamp system and a quality evaluation mechanism; vision, text and sensor features are extracted and aligned by using a pre-trained deep learning model, adaptive feature fusion is realized by using an attention mechanism of scene perception, hidden danger recognition and confidence evaluation are completed through a hierarchical classification network and an uncertainty quantification method, and structured rectification suggestions are generated based on template matching and multi-target optimization. And progressive model updating of experience playback and collaborative management of RESTful API (Application Program Interface) are supported. According to the invention, the accuracy and efficiency of fire hazard identification can be effectively improved, and intelligent decision support is provided for safety management.

The invention provides a query configuration method and system, and the method comprises the steps: carrying out the personalized processing of a basic query configuration template based on the context information of a first user, and obtaining a target query configuration template; analyzing the target query configuration template into an executable structure through a strategic rendering engine, and driving a front-end component to render and generate a target query interface according to the executable structure; in response to a query request initiated by the first user on the target query interface, assembling query parameters of a uniform structure and initiating the query request to a target service; and receiving a query result returned by the target service, normalizing the query result according to a result mapping rule of the basic query configuration template, and rendering and displaying the query result on the target query interface. Large-scale multiplexing and refined management and control of configuration are realized through separate design of a configuration warehouse and a central field library, and personalized processing of query configuration is realized by combining static context and dynamic context.

The invention discloses a software development requirement document generation method and device, equipment and a storage medium, and relates to the technical field of document generation, and the method comprises the following steps: obtaining first requirement information collected when target software is developed, and carrying out data preprocessing on the first requirement information to obtain corresponding second requirement information; determining each target entity corresponding to the second demand information, and constructing a target knowledge graph based on each target entity; complementing missing information in the second demand information based on the target knowledge graph by using the target large model to obtain third demand information, and performing logic verification on the third demand information to determine target demand information based on a logic verification result; and determining a corresponding target demand document template based on the software development demand type corresponding to the target software, and generating a target software development demand document corresponding to the target software based on the target demand document template and the target demand information. According to the invention, the generation efficiency and accuracy of the software development requirement document can be improved.

The invention provides a code detection method and system, computing equipment, a storage medium and a program product, and is applied to a code detection system, the code detection system comprises a code management tool and a detection agent, and the method comprises the following steps: calling the code management tool to monitor a code submission event, and when the code submission event is monitored, sending the code submission event to a server; submission information of a to-be-detected code corresponding to the code submission event is obtained; identifying the event type of the code submission event, and determining a target prompt template based on the event type; and constructing a target prompt word based on the submission information and the target prompt template, calling a detection agent, executing a code detection task based on the target prompt word, and obtaining a detection result for the to-be-detected code. The problems that manual examination efficiency is low and research and development resources are occupied are effectively solved, the overall code examination efficiency and quality are improved, and the method can be widely applied to the fields of digital culture product manufacturing software, digital culture creative software and the like in a new generation of information technology.

The invention belongs to the field of fault risk assessment in the operation and maintenance process of wind power equipment, and particularly relates to a fan fault early warning expert large model, a construction method and a system. Comprising the following steps: acquiring vibration time sequence data in a fan operation process, and preprocessing to obtain a standardized time sequence data set; jointly constructing a fan equipment state feature library based on multi-domain indexes; constructing a fine tuning data pair template based on the fan equipment state feature library, and generating a large model supervised fine tuning data set; constructing a self-supervised optimal system prompt template based on prior knowledge guidance; performing fine tuning training on the pre-trained basic large model to obtain a fan fault early warning primary large model; according to the model illusion processing method based on multistage combined sampling, a self-supervised optimal system prompt template is introduced, a fan fault early warning expert large model is obtained, and the problems that a traditional method is insufficient in generalization, needs to be customized in a matched mode for different units and different parts, and cannot support high-reliability fault early warning for the whole unit are solved.

The invention relates to an intelligent alarm root cause analysis method and device, equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of multi-source alarm data, obtaining a text feature vector, a time sequence value feature vector and a graph structure feature vector, and carrying out the feature fusion processing of the text feature vector, the time sequence value feature vector and the graph structure feature vector, and obtaining a fusion feature vector; converting the fusion feature vector into a natural language description, obtaining context integration information of the multi-source alarm data, and constructing a structured prompt template based on the natural language description and the context integration information; inputting the structured prompt template into a large language model for root cause reasoning, generating a plurality of candidate root cause hypotheses, performing confidence evaluation on the candidate root cause hypotheses, and generating a root cause analysis result; performing information structuring processing on the root cause analysis result, generating and inputting root cause analysis structured data into a report template, and generating a structured fault analysis report; compared with the prior art, the technical scheme of the invention can efficiently adapt to a dynamic system environment, and improve the accuracy and automation level of root cause analysis.

The invention discloses a visual duplicate removal method, device and equipment for overlapped targets, and relates to the technical field of automation control, and the method comprises the steps: collecting a scene image of a to-be-captured target, and recognizing a matching template and pose information of each target in the scene image based on template matching; constructing a reference polygon enveloping a target boundary according to the matching template; performing external expansion or internal shrinkage processing on the reference polygon based on a preset safe distance, and generating a safe region polygon in combination with the matching template; transforming the associated security area polygon into the same image coordinate system through the pose information of each target; and in the image coordinate system, judging whether any two targets have an overlapping region or not so as to carry out overlapping removal processing. Through accurate geometric description, preset safety distance and target matching and overlapping judgment, misjudgment and missing detection of target overlapping are remarkably reduced, and the grabbing collision risk caused by neglecting of the physical size of an actuator is avoided.

Methods and systems are described for intra-prediction using template matching (TM) in video coding. The proposed methods include adaptive fusion when using template-based intra mode derivation using the most probable modes (TIMD), and fusion in intra mode prediction with template matching (Intra TMP).

Disclosed are various embodiments for an encrypted context-based prompt system for interactions between multiple entities. In one embodiment, a system comprising a computing device configured to receive a request to activate a prompt session. The request comprises a template identifier representing a type of interaction between a first device and a second device. A decrypted term is determined by decrypting an encrypted term associated with the request. A large language model prompt is generated based at least in part on the template identifier and the decrypted term. A proposed term is generated by executing a large language model application based at least in part on the large language model prompt. An encrypted proposed term is transmitted to the first client device or the second client device.

The invention discloses a real-time acupuncture point mapping method based on a bone degree deflection method and a human body posture key point model, and relates to the technical field of traditional Chinese medicine digitization. According to the real-time acupuncture point mapping method based on the bone degree discount method and the human body posture key point model, acupuncture point coordinates are calculated by combining the standard bone degree discount proportion with the objective distance between the human body posture key points, traditional empirical positioning is converted into datamation and standardization calculation, personal errors are reduced, BMI parameters are introduced to formulate a BMI interval correction table, and the real-time acupuncture point mapping accuracy is improved. The three-dimensional coordinates of the acupoints are accurately corrected through the coordinate correction coefficient, it is ensured that acupoint mapping of users of different body types is highly matched with the actual subcutaneous position, the purpose of improving the acupoint positioning effect is achieved, a corresponding acupoint mapping template is selected according to the judgment result of the human body orientation, a real-time AR picture is generated in an AR superposition rendering mode, and the user experience is improved. And real-time mapping of human body acupuncture points is realized.

The invention discloses a document generation method and system, and belongs to the field of document processing software, the method comprises the following steps: in response to a template creation operation, creating a template structure file, a style configuration file and a component library definition file, the template structure file is used for defining a logic structure and a to-be-filled area of a target document, and the to-be-filled area is used for defining a to-be-filled area of the target document; the style configuration file is used for defining page layout of the target document, and the component library definition file is used for defining available document components of the target document; generating a first document template file based on the template structure file, the style configuration file and the component library definition file; obtaining a first content data file generated based on the first document template file, wherein the first content data file comprises filling content used for filling the to-be-filled area; and synthesizing the target document based on the template structure file, the style configuration file and the first content data file. According to the method, standardization of the generated target document can be ensured, and the document maintenance difficulty is reduced.

The invention provides an artificial intelligence-based collection decision method and system and a storage medium, and the method comprises the steps: obtaining project approval information, sending the project approval information to an AI model to obtain a reference file template, and determining a target file template based on the reference file template; sending the target file template to an AI model to obtain a reference qualification requirement, and determining a target qualification requirement based on the reference qualification requirement; sending the target qualification requirement to an AI model to obtain a reference bid evaluation method, and determining a target bid evaluation method based on the reference bid evaluation method; sending the target bid evaluation method to the AI model to obtain reference related elements, and determining target related elements based on the reference related elements; sending the target related elements to an AI model to obtain a reference bid invitation file, and determining a target bid invitation file based on the reference bid invitation file; and sending the target bid invitation file to the AI model to obtain an audit result of the target bid invitation file, and obtaining a bid invitation decision based on the audit result. According to the invention, the bid procurement decision can be determined efficiently and accurately.

The invention relates to the technical field of unmanned aerial vehicle aerial photography and computer vision, in particular to an unmanned aerial vehicle aerial photography long-term target tracking method based on matching loss confidence. Comprising the steps of performing multi-feature fusion extraction on a tracking target object, calculating the similarity between a target template and a candidate region, performing target search matching by using an improved pelican search algorithm, realizing target scale adaptive updating through a scale pyramid, and dynamically updating the target template based on an adaptive learning rate; and designing a long-term tracker combined with the matching loss confidence, wherein the long-term tracker comprises the steps of judging a target tracking state based on the matching loss confidence and executing rapid positioning redetection when the target is lost. Through multi-feature fusion, an improved pelican search algorithm and a matching loss confidence judgment mechanism, the long-term stable tracking of the target in the aerial photographing scene of the unmanned aerial vehicle is realized, the problems of shielding, scale change, target loss and the like are effectively solved, and the tracking precision, the success rate and the real-time performance are considered.

The invention discloses a dynamically configured accounting document question setting and test paper composition method and system, relates to the field of accounting education, and provides the following scheme: performing feature extraction and comparison on question solving information and solution sets based on a machine learning technology to generate used and unused solution sets; screening the effective solutions which are not fully used by using a threshold value, and counting the occurrence times of the effective solutions in the historical solution set as effective rates for sorting; learning grades are divided according to historical scores of students, and targeted questions are generated by differentially retaining an efficient solution; and constructing a test question template based on the question category, and performing dynamic test paper composition by utilizing a machine learning optimization algorithm. Deep mining of hidden knowledge points is realized through intelligent analysis of a solution using mode; through accurate assessment of student ability and question adaptation, the problems of simplification and staticization of a traditional test paper composition method are solved, and the personalized level and training effect of accounting document teaching are improved.

An object of a system according to an embodiment is to efficiently generate a description or a landing page of a product.SOLUTION: A system includes an explanation sentence generation part, a layout proposal part, and a page generation part. The description generation unit automatically generates a description based on the specifications and characteristics of the product input by the seller. The layout proposing unit proposes an optimum page layout and design template based on the specifications and characteristics of the merchandise. The page generation unit generates a landing page by combining the description generated by the description generation unit and the design template proposed by the layout proposal unit.SELECTED DRAWING: Figure 1

The invention provides a secondary equipment debugging intelligent auxiliary method and system based on a secondary logic model, and relates to the technical field of debugging assistance, and the method comprises the steps: collecting multi-source structured data related to secondary equipment; constructing a secondary logic model diagram for debugging assistance by taking the equipment nodes as objects and the communication relationship and the logic control relationship as connecting edges based on the multi-source structured data; obtaining a debugging task; mapping the debugging task to a corresponding node in the secondary logic model diagram through a semantic and configuration fusion matching mechanism; based on the secondary logic model diagram and the debugging task mapping result, generating a structured debugging operation template in a mode of combining template retrieval, state injection and logic verification; based on the structured debugging operation template, comparing and checking the running state data of the current debugging object equipment; and on the basis of the comparison check result and the structured debugging operation template, executing online monitoring of the link state, and assisting in realizing intelligent analysis of the debugging state.