32 results about "Exact matching" patented technology

The embodiment of the invention provides a medical knowledge graph construction method and device, equipment and a storage medium, and is applied to the field of medical knowledge graph construction, and the method comprises the steps: obtaining a medical text, and carrying out the entity extraction of the medical text through a pre-trained entity recognition model; based on a precise matching method and a fuzzy matching method, the extracted entities are matched with entities in an existing knowledge base, an entity matching result is obtained, and the entity matching result comprises matched entity pair information; based on an entity matching result, using the fine-tuned large language model to extract a relationship between entities according to a preset cue word to obtain a plurality of knowledge maps; and aligning entities with the same meaning in different knowledge maps by using an entity alignment method fusing the ontology semantic structure and the entity relationship attribute to obtain a complete medical knowledge map. According to the method, accurate, efficient and automatic medical knowledge graph construction is realized, and high-quality knowledge support can be provided for medical artificial intelligence.

The invention provides a rapid calculation and prediction method, device, equipment and medium for a soft melting zone of a blast furnace, and the method comprises the following steps: collecting blast furnace operation data, carrying out standardization processing, dynamically establishing a geometric model, constructing simulation models of grids with different resolutions, and carrying out hierarchical solving based on a historical sample matching condition to realize efficient prediction. When the matching degree is insufficient, the first resolution grid is adopted to quickly calculate and generate first interpolation data, when the matching degree is between basic matching and complete matching, second interpolation data is acquired in real time through the matching sample, the first or second interpolation data is mapped to the second resolution grid to be initialized, accurate calculation is carried out, and the first interpolation data and the second interpolation data are obtained. Fast and accurate calculation adopts a gas-solid single-core interaction parallel partitioning strategy to accelerate solution, a matching working condition result is directly reused when the matching degree meets complete matching, a calculation result and a standardized parameter are synchronously stored in a historical sample library, and data clustering matching and visual output are realized; the method effectively supports blast furnace smelting state monitoring, operation optimization and stable and smooth operation.

The embodiment of the invention provides a large model tool calling data enhancement method, system and device and a medium. The method is applied to the technical field of man-machine conversation systems and artificial intelligence data enhancement, and comprises the steps of obtaining historical service data and corresponding track data to form historical parameters; carrying out association binding among the historical parameters, and constructing dialogue chain data; preprocessing the historical parameters and the corresponding dialogue chain data, judging whether the dialogue chain data is complete or not, and if yes, entering the next step; comparing the historical parameters with the reference data, and dividing the data into completely matched data, partially matched data and unmatched data; performing similarity retrieval on the dialogue chain data corresponding to the partial matching data to obtain historical correction data; and correcting the partial matching data according to the historical correction data to obtain correction data, and outputting the correction data, the complete matching data and respective corresponding track data and session chain data. According to the efficient and controllable data enhancement method disclosed by the invention, the large model tool calling capability can be improved.

A method for processing packets, the method comprising receiving a packet by a data processing unit (DPU), making a first determination that there is no exact match flow entry in a hardware switch pipeline in the DPU for the packet, in response to the first determination, classifying, in the DPU, the packet as a data packet, in response to the classifying of the packet: identifying, using a software data plane in the DPU, a forwarding information base (FIB) entry to be used to transmit the packet towards its intended destination, identifying, using the software data plane, a flow associated with the packet, initiating, using the software data plane, programming of an exact match flow entry in the hardware switch pipeline, and initiating, using the software data plane, transmission of the packet towards its intended destination using the FIB entry and the hardware switch pipeline.

Methods and systems are provided to identify PCR duplicates of genetic sequence reads using inexact matching. More specifically, clustering of sequence reads based on inexact matching of both positional alignment coordinates and / or molecular barcodes are described. Samples are sequenced to generate unclustered sequence reads associated with a set of sorting features. The unclustered reads are sorted based on a primary sorting feature, and then by the remaining one or more secondary sorting features. In addition to exact matching of the primary sorting feature, unclustered reads that have values of secondary sorting features that fall within a predetermined tolerance distance are clustered together. The clusters are used to identify PCR duplicates which identification may yield a more accurate read of the sample of interest.

The invention discloses a commodity order information intelligent identification method based on natural language processing, and belongs to the technical field of natural language processing. Aiming at the problem of low recognition accuracy of unstructured text order information, the invention provides an intelligent recognition method. The method comprises the following steps: receiving an unstructured text; preprocessing, including conversion from traditional Chinese characters to simplified Chinese characters, space removal and keyword filtering; commodity names are extracted by adopting accurate matching and pinyin fuzzy matching; extracting numbers and quantity identifiers; analyzing the number of each commodity, including processing the expression of each character, the expression of a direct number, the expression of a negative number and the expression of 0; and outputting the structured order information. In addition, the method can also process agency orders and serial number orders, identifies commodity name variants through a sliding window technology and Pinyin similarity calculation, improves order processing efficiency, enhances the capability of processing complex expressions, reduces labor cost, and improves user experience.

A sorting method and apparatus, a medium, an electronic device and a program product relate to the technical field of artificial intelligence, the method comprising: receiving a to-be-searched question, obtaining a candidate set corresponding to the to-be-searched question, the candidate set comprising at least one text field; determining a matching type between the text field and the to-be-searched question, wherein the matching type comprises a complete matching type, a substring matching type and a dispersed matching type; obtaining a target matching degree between the text field and the to-be-searched question based on the matching type; and sorting the at least one text field according to the target matching degree to obtain a sorting result. According to the method and the device, the text fields are sorted by utilizing the target matching degree between the text fields and the to-be-searched question, so that the sorting accuracy can be improved.

This application relates to the field of artificial intelligence, and more particularly to a method, apparatus, device, and program product for controlling document editing. The method includes: receiving a document editing request from a large language model agent; if no exact matching sequence is found in the target file for the content to be replaced, calculating the similarity between the content to be replaced and the sequence in the target file, and locating the best matching segment based on the similarity; performing a difference analysis between the content to be replaced and the best matching segment and generating an error diagnosis report including difference information; returning the error diagnosis report to the large language model agent, guiding the agent to correct the document editing request. This method finds the best matching segment for sequences that fail to match precisely and generates an error diagnosis report including difference information, facilitating rapid location of differences, reducing invalid attempts, and improving the agent's repair efficiency.

The invention relates to a dynamic routing control method and system based on a storage process return value, and belongs to the field of process control and industrial automation. The system comprises an RET rule configuration module, a routing controller and a business process execution module. A mapping rule between a return value and a target flow is defined in a configuration module, and a routing controller receives a real-time return value of a storage process, performs dynamic matching according to a preset rule, and quickly determines a flow jump path. And the business process execution module executes the corresponding process logic according to the matching result. The rule supports accurate matching, regular matching and default paths, and has a hot update capability and a priority analysis mechanism. The method has the advantages of flexible configuration, high response speed, simple deployment, low maintenance cost and the like, and is suitable for dynamic production process control in multiple industries such as manufacturing, energy, food, electronics and the like.

This invention discloses a virtual training data management system and method based on LVC simulation, relating to the field of LVC simulation. It includes a hierarchical hash index module, a Bloom filter module, and a streaming event processing module. The hierarchical hash index module performs unified collection and standardized mapping of raw state data from three types of data sources, ensuring cross-source data consistency and temporal accuracy. A multi-layered hash table is constructed based on the ODSLA metric set, dynamically determining the number of hash layers and optimizing object indexing and storage efficiency. Real-time monitoring of the load of each hash bucket, combined with high-load splitting and low-load merging mechanisms, achieves dynamic load balancing, improving resource utilization and processing performance. An countable mechanism is used for initial screening of object states, reducing unnecessary exact matching calculations. Combined with local caching to handle out-of-order events and rule-based exact matching, efficient and accurate event stream processing is achieved, providing reliable data support and rapid response capabilities for virtual training.

The invention discloses a question and answer task evaluation method and system based on a mixed expert structure, and belongs to the field of artificial intelligence, and the method comprises the steps: obtaining a reply generated by a to-be-tested large language model for a question, and extracting a short answer from the reply in combination with the question; obtaining a matching result between the short answer and a real answer of the question according to a predefined matching rule; under the condition that the matching result is complete matching or partial matching and the predicted answer does not exceed or is wrong, giving an evaluation score to the reply based on score setting of a predefined matching rule; and generating an evaluation score of the reply by using an evaluation model based on a hybrid expert structure under the condition that the matching result is completely mismatched or an error exists. According to the method, the high accuracy of reply evaluation is ensured, and meanwhile, the cost benefit is relatively high.

The invention provides a BIM-based carbon emission accounting method and system, and the method comprises the steps: obtaining a component set corresponding to a BIM model, and obtaining a coding component set under a preset component coding rule based on the component set; based on the coding component set, obtaining a coding identifier corresponding to each component in the coding component set, and based on the coding identifier, performing matching search in a preset component carbon emission factor library to obtain an accurate matching result; if the accurate matching result is null, acquiring a general component attribute based on the coding component set, and performing fuzzy matching processing in a preset component carbon emission factor library based on the general component attribute to obtain a carbon emission factor corresponding to each component in the coding component set; and obtaining the engineering quantity of each component, and obtaining a carbon emission accounting result based on the engineering quantity and the carbon emission factor. According to the invention, the efficiency of carbon emission accounting can be improved.

The invention is suitable for the technical field of data management, and provides a material master data optimization and standardization processing method and system based on a multi-dimensional matching rule, and the method comprises the following steps: S1, data preparation: collecting and sorting material master data, and ensuring that the data has fields matched with a standard library; s2, standard library construction: constructing a standard library containing standard data according to national standard and line standard documents, and regularly updating and maintaining the standard library; and S3, defining a matching rule: according to business requirements and data characteristics, defining a multi-dimensional matching rule including accurate matching and fuzzy matching. According to the material main data optimization and standardization processing method and system based on the multi-dimensional matching rule provided by the scheme, the problems of repeated codes, error codes and missing filling are mainly solved, and the data accuracy is ensured; material architecture optimization is completed, the encoding technology attribute problem is solved, and the reasonability of a data structure is improved; and comprehensive optimization and cleaning of the data are realized.

The invention discloses an identity affirmation and compensation device in data consistency comparison and a control method, and belongs to the technical field of data processing. The device comprises a basic data module, a weight configuration module, a data identity affirmation module, a TAC module and a compensation check module. According to the method, key fields and non-key fields are dynamically divided through a weight configuration module, accurate matching is adopted for the key fields, and fuzzy matching based on an editing distance algorithm is adopted for the non-key fields to calculate similarity; then, the average similarity of the fields is calculated according to weight grouping, and the identity affirmation rate percentage is obtained by combining weight weighting; if the affirmation rate exceeds a threshold value, starting consistency comparison, otherwise, transferring to manual review; and when the comparison result is inconsistent, the compensation check module performs delay retry and targeted secondary check on the inconsistent field, so that the problem of false inconsistency caused by data synchronization delay is effectively solved. And meanwhile, a layered matching mechanism is combined with compensation verification, so that the data comparison success rate is remarkably improved.

This invention discloses a question-answering task evaluation method and system based on a hybrid expert structure, belonging to the field of artificial intelligence. The method includes: acquiring the response generated by a large language model to a question, and extracting a short answer from the response in conjunction with the question; obtaining the matching result between the short answer and the true answer to the question according to predefined matching rules; assigning an evaluation score to the response based on the scoring settings of the predefined matching rules when the matching result is a complete match or a partial match and the predicted answer has no errors or excesses; and generating an evaluation score for the response using an evaluation model based on a hybrid expert structure when the matching result is a complete mismatch or contains errors. This invention achieves high accuracy in response evaluation while also being cost-effective.

This invention relates to the field of intelligent information processing technology, and more particularly to a self-evolving process entry routing closed-loop method and system based on user feedback. The method constructs a two-dimensional dynamic lexicon containing process keywords and fuzzy synonyms; it segments the user's natural language to extract core keywords; it calculates the first and second hit rates of the core keywords and the two-dimensional lexicon respectively, and then weights and fuses them based on the two-dimensional weight coefficients to obtain a comprehensive matching score; it returns recommendation results to the user based on the score and ranking threshold and obtains interactive feedback data; finally, it dynamically updates the underlying lexicon based on the feedback data, and adaptively adjusts the weight coefficients and ranking thresholds in conjunction with business operation requirements data. This invention breaks through the barriers of traditional single exact matching, and achieves a self-evolving routing mechanism without manual intervention through data closed-loop, significantly improving the routing accuracy in complex contexts and dynamic business conditions.

The invention discloses a text matching method and device, equipment and a storage medium. The method comprises the following steps: preprocessing a to-be-queried text to obtain a to-be-matched text; based on a pre-configured standard library, a funnel-type hierarchical matching processing process is executed on a to-be-matched text, and the funnel-type hierarchical matching sequentially comprises four levels of complete matching, first model matching, model matching after rule rewriting and model matching after semantic rewriting according to a processing sequence; when the matching of the previous hierarchy does not meet the preset condition corresponding to the previous hierarchy, entering the matching of the next hierarchy; and for the matching of each level, when the matching result of the current level meets a preset condition corresponding to the current level, taking a text result matched by the current level as a target matching text, and terminating a matching process. According to the method, while the text matching efficiency is improved by adopting a shunting matching mode of funnel type hierarchical matching, the matching accuracy is improved by combining model matching after rule rewriting and model matching after semantic rewriting.

In an example embodiment, embeddings are used to securely search sensitive encrypted data stored in a database without the need to retrieve and decrypt all data in a volume. Specifically, a piece of text is embedded into an embedding, which is then stored in a vector database. Then the piece of text can be encrypted and stored in another database. A linkage between the embedding and the ciphertext can also be stored. When a search is performed, one or more keywords from the search can be embedded and the keyword embedding can be compared to the embeddings in the vector database to locate similar embeddings. The ciphertexts corresponding to those similar embeddings can then be retrieved from the other database and decrypted. The decrypted ciphertexts can then be searched based on the keywords to find exact matches.

The keyword matching method, device and electronic equipment across language environments provided by the embodiments of the present application relate to the technical field of information retrieval. First, a source language keyword used for matching a target language text is obtained; then, the source language keyword is processed by word segmentation, and the source language keyword is classified into a short keyword string or a long keyword string; then, when the source language keyword is a short keyword string, keyword cross-language matching is performed through semantic expansion to optimize the missing report problem of the source language keyword exact matching; when the language keyword is a long keyword string, the source language keyword cross-language matching is performed based on a semantic-level fuzzy matching technology, the overall matching degree of the keyword is calculated in combination with the semantic matching value and the overall relevance of the matching segment to the target text, so as to comprehensively consider the overall matching degree and the local matching degree of the source language keyword. The above scheme can adopt different matching strategies based on the classification of the source language keyword, and ensure the accuracy of the matching result.

Methods and systems of using an approximate duplicate event filter are disclosed. Event processing systems of a service provider network such as a security service may receive a large volume of events to analyze. Events that have previously occurred can be given a lower priority for analysis than new events. Events that are similar to previous events can likely also be given a lower priority for analysis. These non-exact match events can be detected by comparing token representations of new events to token representations of previous events. Events may be considered according to the context in which the events occur.

The invention provides a drilling cost parameter intelligent extraction method based on a natural language processing technology, and relates to the technical field of artificial intelligence and natural language processing, and the method comprises the steps: building a cost parameter standardized form, and carrying out the standardized definition of the form according to the requirements of a drilling project cost file; establishing a mapping relationship between the standardized parameters and scheme design contents, and forming a standardized form database model; an identification rule for data extraction is formulated, wherein the identification rule comprises inclusion relation matching and complete matching; keyword definitions are extracted, and professional keywords including well drilling, well logging, well logging, well cementation and the like are defined and recognized; performing traversal identification in the document; and carrying out framework extraction by adopting a keyword extraction model to realize extraction of cost parameters. According to the invention, through efficient and high-precision acquisition of estimation and budget calculation parameters, digital and intelligent development of cost business is promoted.

The present application discloses a register address location method, device, and medium for device display data, relating to the field of industrial control communication technology. The method comprises: receiving visual display data obtained by a user from a device display module through a human-computer interaction interface, and collecting raw binary data from the device register through the MODBUS protocol; determining the data type of the visual display data, and based on the data type, performing binary conversion on the visual display data to obtain visual conversion data; matching a preset positioning algorithm to be applied based on the data type of the visual conversion data; if the data type of the visual conversion data is integer data, executing an exact matching algorithm; if the data type of the visual conversion data is non-integer data, executing an approximate matching algorithm to determine the source data corresponding to the visual conversion data in the raw binary data; and outputting structured information of the source data; wherein the structured information includes a point address, a data type, and a storage format.

This invention discloses a method and device for matching three-dimensional objects in complex scenes based on a first-order distance-topological compatibility index. The method first designs a first-order distance-topological compatibility index for three-dimensional objects, aiming to express the positioning characteristics of three-dimensional objects, thereby alleviating the geometric matching problem caused by random position changes, which is difficult to handle with traditional first-order or second-order spatial compatibility indices. Secondly, a three-dimensional object similarity calculation technique based on the first-order distance-topological compatibility index is proposed to extract exact matching pairs and potential matching pairs. Finally, a multi-line-of-sight constraint equation system is constructed using the relative positional relationship between exact matching pairs and potential matching pairs to achieve iterative self-correction of the spatial position of BIM models in potential matching pairs. This invention achieves high-precision matching between real-world point cloud objects and BIM three-dimensional models in complex scenes, providing a basis for automatic correction of BIM models.

A system (102) and a method (300) for planning an assembly sequence by comparing a new product series and a reference product series. The method includes receiving a first set of attributes corresponding to the new product series. The method includes determining a second set of attributes corresponding to the reference product series. Using an exact matching operation for a candidate part of the new product series, the method includes comparing the part number of the candidate part with the reference part number and the part description of the candidate part with the reference part description. This can be done based on the match between the submodule number of the candidate part and the reference submodule number. In response to the detection of a mismatch during the exact matching operation, the method includes generating a vector representation of the part description corresponding to the candidate part.Furthermore, the procedure includes retrieving, for the appropriate candidate part, a complete contextual assignment from the reference series for the new series that meets a predefined threshold, in order to plan the assembly sequence.

The invention discloses a face recognition method based on a fuzzy privacy set intersection. In order to solve the problems that privacy is leaked and image changes cannot be processed through accurate matching in existing face recognition, the method mainly adopts a mode of combining entropy optimized local sensitive hash (E-LSH) mapping and an improved fuzzy matching protocol. And full-process encryption protection is carried out on face coding data, a Hamming distance calculation process and a matching threshold value under a two-party system architecture. Experiments show that the performance is greatly improved, a large-scale data set and flexible Hamming distance threshold setting are supported, and the data privacy and the calculation efficiency in the authentication process are effectively improved while the authentication accuracy is guaranteed; compared with an existing scheme, the expansion rate is improved by multiple times, and compared with spatial hash, exponential improvement is achieved, and the number of candidate pairs is remarkably reduced.

This invention provides a method and system for detecting and correcting errors in power system operation tickets. The method includes: acquiring power system operation ticket information and generating a corresponding hash set; searching for a pre-constructed query key in the hash set; if a key exists, the exact match is deemed successful; if no key exists, the exact match is deemed unsuccessful; selecting all standard dual names for the substation from the ledger based on the substation name in the operation ticket information as a candidate correction set; and selecting one or more standard dual names with the highest similarity as recommended correction results based on the text similarity between the dual names for which operation steps in the operation ticket information do not match and each item in the candidate correction set. This invention achieves instantaneous exact matching, solves the efficiency bottleneck of manual review, overcomes the reliability problem of manual review, and fundamentally improves the safety level.

Disclosed are systems and method of mapping data entries originating in different systems. A plurality of data entries from different systems are normalized such that they can be compared to each other and mapped, even though the data entries are defined by data fields with differing phrases, descriptive details, and lengths of detail. Data entries may be filtered according to data fields before a mapping operation is employed for mapping. The mapping operation evaluates similarity scores based on the data fields using a combination of exact matching algorithms, dictionary matching algorithms, and text mining algorithms. The mapped data entries and data fields are displayed to a user.

The invention provides a JSON (JavaScript Object Notation) data comparison method. According to the method, quick positioning of the JSON structure change is realized through key set analysis, and a matching strategy is adaptively selected based on a data type: direct comparison is performed on conventional objects, three-stage intelligent matching (complete matching-similarity threshold judgment-unmatching processing) is performed on an array, and the strategy is recursively applied to a nested structure. The design effectively solves the problems of array sequence change and nesting difference recognition which cannot be processed by a traditional method, and the false alarm rate is remarkably reduced; meanwhile, a structured difference result set is generated through path management and leaf node marking, and visual report output is supported. Finally, the comparison accuracy and efficiency are improved in the scenes of API testing, data migration and the like, and analysis deviation caused by complex nesting and array disorder is avoided.

A method for processing packets, the method comprising receiving a packet by a data processing unit (DPU), making a first determination that there is no exact match flow entry in a hardware switch pipeline in the DPU for the packet, in response to the first determination, classifying, in the DPU, the packet as a data packet, in response to the classifying of the packet: identifying, using a software data plane in the DPU, a forwarding information base (FIB) entry to be used to transmit the packet towards its intended destination, identifying, using the software data plane, a flow associated with the packet, initiating, using the software data plane, programming of an exact match flow entry in the hardware switch pipeline, and initiating, using the software data plane, transmission of the packet towards its intended destination using the FIB entry and the hardware switch pipeline.

The application relates to an API gateway routing matching method and system based on hierarchical indexing, a computer device and a readable storage medium. The method comprises the following steps: receiving request information, wherein the request information comprises a request path; acquiring the request path in the request information and splitting the request path into a path segment array; based on the path segment array, performing routing rule matching in a prefix tree constructed in advance in the order of the priority of an exact matching mode, a prefix matching mode and a wildcard matching mode; and if the routing rule matching succeeds under the current matching mode, stopping the matching and returning the corresponding routing rule. The method can improve routing matching efficiency in a large-scale routing rule scenario.