31results about How to "Accurate query" patented technology

The invention belongs to the technical field of information logistics, and particularly relates to an intelligent logistics control system and method based on machine vision and a storage medium, and the intelligent logistics control method based on machine vision comprises the steps: obtaining discharging information; controlling a visual identification module to run to a photographing position according to the discharging information so as to identify material grabbing position information and identification code information of an identification code; matching a discharging drawer of the storage cabinet module according to the identification code information, and generating matching information; and a robot carrying module is controlled to be matched with a transfer module according to the matching information and the material grabbing position information, so that the robot carrying module places the grabbed packaging parts on the transfer module, and the packaging parts are stored in a storage cabinet module through the transfer module. According to the invention, the classification, storage and taking efficiency of the packaging parts is improved, and the complexity and errors of manual operation are reduced.

The invention provides a route-independent network measurement system which comprises a plurality of network measurement points and a centralized controller, each network measurement point maintains a route-independent data sketch, each network measurement point is of a multi-layer structure, each layer comprises a plurality of units provided with bitmaps, and initial values of all bits in the bitmaps are first numerical values; the network measurement point is configured to obtain a packet keyword of a received data packet and a flow keyword of a data flow to which the data packet belongs according to a measurement task; updating a data sketch of the network measurement point according to the keyword, determining an associated layer according to the packet keyword, and determining an associated unit in the associated layer according to the stream keyword; mapping the packet keyword to a position of the bitmap of the associated unit, and updating the value of the position to a second value; and the centralized controller is configured to estimate the number of data packets transmitted by each data stream in the network according to a global data sketch obtained by collecting and aggregating the updated data sketches of the plurality of network measurement points so as to complete a measurement task.

The invention discloses an LLM (Logical Language Modelica) domain method for Modelica intelligent modeling optimization, and belongs to the field of computer-aided modeling. Structured information is converted and extracted by collecting field data of the new energy automobile; then, based on the RAG technology, intelligent blocking and vectorization processing is carried out on the structured information to form a structured knowledge base, and then a recall test is carried out by calculating a comprehensive weighted score to judge whether the structured knowledge base is available or not; then, the LLM is integrated into an AI-Agent framework, an AI-Agent is formed, and LLM parameters are configured; integrating the structured knowledge base which passes the test into the AI-Agent by utilizing an API (Application Program Interface) and an access protocol; and meanwhile, a specialized cue word template is designed and integrated into the AI-Agent, and a Modelica code generation template and related constraints are standardized. And finally, the user asks a question to the AI-Agent, the LLM works according to a specialized cue word instruction, an API interface is called to access the knowledge base, and Modelica codes which conform to language specifications and can be operated by the user are automatically output through the LLM. According to the invention, end-to-end conversion from unstructured input to high-fidelity model output is realized.

The invention provides an industrial neural network graph mode query method and device based on an SIPyOC-RC model. The method comprises the following steps: acquiring a pre-constructed industrial neural network graph based on the SIPyOC-RC model; wherein the industrial neural network graph comprises a brain graph and an instance graph, the brain graph comprises brain graph nodes and a connection relation, the instance graph comprises instance graph nodes and a connection relation, and the instance graph nodes are instantiation results of the brain graph nodes; obtaining a user query request, and analyzing the user query request into an intention format based on the SIPyOC-RC model; and performing mode query on the industrial neural network diagram according to the intention format to obtain a mode query result. According to the industrial neural network graph mode query method and device based on the SIPyOC-RC model provided by the invention, mode query of the industrial neural network graph based on the SIPyOC-RC model is realized, rapid, efficient and accurate general query of one graph can be realized, and real-time accurate query of enterprise information is assisted.

The invention relates to the technical field of intelligent customer service, in particular to a method for improving reply accuracy of intelligent customer service. The method for improving the reply accuracy of the intelligent customer service comprises the following steps: compressing complex statements; vectorization construction of a standard intention library and vectorization construction of a standard entity library; extracting a customer question intention and identifying a key entity, and identifying the intention and the key entity; matching the question intention of the customer with the task; the customer questions the alignment between the key entity and the standard entity library, so that the accuracy of subsequent service parameter matching is improved; automatic assembly and service search of services, automatic assembly of entities, tasks and background services, and accurate query and analysis of intentions are realized; and feedback and display of a result: intelligent and standardized reply is completed based on a large model and a preset template. According to the method, key intentions can be extracted from the long sentences, redundant parts are removed, and the system is enabled to focus on processing core information.

The invention relates to the technical field of database retrieval, in particular to a data retrieval output method based on a large language model, which comprises the following steps: acquiring retrieval input content input by a user, and generating cue words according to the retrieval input content; inputting the cue word into the large language model to obtain an SQL retrieval statement fed back by the large language model; and performing retrieval by adopting the SQL retrieval statement to obtain a data output result. In order to solve the problem that in the prior art, the generation threshold of SQL retrieval statements is high, the retrieval input content input by a user is analyzed and processed, information in a DDL form is used for assisting in completing effective building of cue words, and therefore the cue words are input into a large language model to obtain accurate SQL statements to query a database, and the use difficulty is reduced.

The invention discloses a storage traceability method for teak cut raw materials, and belongs to the technical field of wood storage, and the method comprises the following steps: S11, generating a two-dimensional code: cutting teak logs to form teak raw materials; s12, warehousing operation is carried out, wherein the generated two-dimensional codes are printed and pasted to goods shelf bins, and the cut teak raw materials are stored to the corresponding goods shelf bins; s13, inventory management: carrying out inventory management on the raw material information recorded by the two-dimensional code through a warehouse management system; s21, warehouse-out application is carried out; s22, warehouse-out auditing: marking the goods shelf positions where the candidate raw materials are located, and forming a warehouse-out application form; s23, warehouse-out operation: according to the warehouse-out application form, taking out the candidate raw materials on the corresponding goods shelf positions, and carrying out matching operation; and S24, updating inventory data. The unique two-dimensional code is generated for each batch or each piece of cut teak raw material, and detailed raw material information is recorded, so that the transparency and traceability of storage information are greatly improved.

The invention relates to the technical field of data processing, in particular to an SQL query method and device, equipment and a medium. In the embodiment of the invention, the grammar specification is pre-configured in the electronic equipment, and the electronic equipment can check the SQL statement according to the grammar specification, so that the check method which does not depend on a specific database is realized, and the check flexibility and efficiency are greatly improved. In addition, according to the checking method, consumption of database resources can be reduced, the flexibility of service deployment is improved, and grammar checking of a user-defined function is supported.

The application relates to a communication control method and device, a cloud network controller and a communication system. The communication control method is applied to the cloud network controller and comprises the following steps: in response to receiving target data of an access device, determining feature information of the target data and target interface information matched with the access device; inquiring target protocol information corresponding to the access device based on the target interface information and the feature information; and establishing communication based on the target protocol information. In this way, the cloud network controller is connected with the access device without hardware wiring, and the protocol type required by the device data transmission can be automatically and accurately matched, so that accurate data transmission with an upper computer can be established.

This specification provides a data query method, apparatus, device, and storage medium. The method includes: receiving a data query request for a storage space, wherein the storage space stores metadata of multiple metadata versions and content of multiple content versions corresponding to at least one object; wherein the metadata of the multiple metadata versions corresponds to different metadata effective dates, and the content of the multiple content versions corresponds to different content effective dates; querying the storage space for metadata of a target metadata version and content of a target content version that match the query conditions indicated by the data query request; and combining and returning the metadata of the target metadata version and the content of the target content version.

The invention relates to the field of drug utilization value analysis, and particularly discloses a data stream-based drug utilization value analysis system, which comprises a data layer, an application layer and a user layer, according to the method, the multi-source drug data stream is constructed and stored in the multi-source drug database, and based on systematic management of drug information, drug use errors caused by drug name confusion, dosage errors and dosage form confusion can be reduced, the drug use safety is improved, and the method is beneficial to quickly and accurately retrieving and querying specific types of drug information; by integrating the elderly physiological features and the drug feature information, the drug utilization value analysis model is constructed, the elderly physiological features and the drug features are comprehensively considered, the utilization value of the drug on the elderly can be comprehensively evaluated, and the influence of the drug on the elderly patient can be predicted more accurately.

This application provides a method and system for processing spacecraft manufacturing process data. The method includes: constructing a query data index; performing hierarchical desensitization processing on spacecraft process-sensitive data according to multi-level desensitization rules; using the query data index as an anchor point, determining the model identifier, process parameters, component number, material batch, and multimodal identifier associated with the same process, and establishing a mapping table between the desensitized data and the spacecraft process-sensitive data; and performing a query on the current client's process query interface based on the input query data index to return the matching process manufacturing data to the process query interface. This application enables more efficient querying of process manufacturing data, hierarchical desensitization processing of spacecraft process-sensitive data, and obtains more secure and reliable desensitized data and data transmission.

Embodiments of the present specification disclose a data tracing method and device, a storage medium and equipment. The method comprises: parsing a to-be-traced structured query language (SQL), to obtain an abstract syntax tree corresponding to the to-be-traced SQL; based on the abstract syntax tree, obtaining predetermined element information corresponding to the to-be-traced SQL; based on the predetermined element information and the syntax structure of the to-be-traced SQL, constructing a reverse SQL corresponding to the to-be-traced SQL; and performing data tracing processing based on the reverse SQL.

The present invention relates to an automatic generation system of information security TARA reports based on SQL database, comprising: a framework definition unit, used to define a TARA report framework; a requirement acquisition unit, used to acquire the TARA analysis requirements input by a user; a data query unit, used to query an SQL database according to the TARA analysis requirements and obtain query results; a data analysis unit, used to analyze the query results to obtain an attack tree dendrogram; a processing unit, used to generate a TARA report file according to the defined TARA report framework, and also used to acquire corresponding data from the query results to write into the corresponding part of the generated TARA report file, and also used to write the attack tree dendrogram into the corresponding part of the generated TARA report file, thereby completing the automatic generation of a TARA report. The present invention greatly improves the efficiency of report generation while ensuring the visualization of the report and facilitating the understanding of the report content.

The present invention discloses a data source management and processing system for a medical cognitive intelligent scientific research platform, which relates to the technical field of medical scientific research platforms, and includes a client, a character recognition module and a data management module. The output end of the client is connected to a data extraction module, and the character recognition module is connected to the output end of the data extraction module. The character recognition module includes a language editing analyzer, an abnormal prompt module, a translation module and an upload module. The present invention uses a data extraction module to read data from different sources and uniformly converts them into specified characters and texts, and uses a character recognition module to identify and translate texts, and uses a data storage cloud to encrypt and classify texts, which can ensure that the system can normalize multi-source heterogeneous data sources. At the same time, through normalization processing, it can effectively ensure that users can quickly and accurately query corresponding data when querying related data.

The invention discloses an electronic scale control method and device based on image recognition and reverse payment, and a medium, and relates to the technical field of electronic scales. The method comprises the following steps: acquiring an image of an article placed on a scale pan, and obtaining weight data of the article; performing forward reasoning on the article image, extracting image features, and outputting a preliminary identification result of the article and a corresponding confidence coefficient; fusing the preliminary recognition result and the weight data on a feature level to generate an article identifier; in response to a reverse payment instruction initiated by a merchant, a dynamic collection two-dimensional code is rendered and generated on a terminal display screen, and a user is prompted to show a payment code image; a payment code image shown by a user is collected, and the payment code image is analyzed to obtain an encrypted collection account identifier. According to the method, the object type is automatically obtained through image recognition, fusion verification is carried out on the object type and the weighing data, the recognition accuracy and reliability are greatly improved, and a foundation is laid for automatic pricing.

The utility model discloses a battery module sampling device, comprising a CCS main body and a switching wire harness, the CCS main body is provided with a switching wire harness jack, two ends of the switching wire harness are provided with connecting plugs, the connecting plugs at two ends are respectively connected with the switching wire harness jack and a BMS slave controller, the switching wire harness is also provided with at least one wired NTC, and the NTC is connected with the switching wire harness jack and the BMS slave controller. The wired NTC comprises an NTC thermistor and an NTC connecting wire harness, the CCS main body is connected with the wired NTC in a plugging manner, and the CCS main body is connected with the wired NTC only by arranging a fixed patch harness socket, so that the universality of the CCS main body is improved, and meanwhile, welding connection is avoided, and the situation that the voltage withstanding performance of a welding part and the periphery of the welding part cannot reach the expectation due to welding is also avoided.

The present disclosure provides a blacklist query method, which is applied to the financial technology field or other fields, including: constructing a BitMap array to store blacklist data; calculating a hash value according to the element to be queried, and obtaining a corresponding BitMap array address according to the hash value calculation; obtaining a first result corresponding to the corresponding BitMap array address through Redis, and judging whether the first result matches; if it matches, further comparing the element to be queried with the table item according to the database table of Redis to obtain a second result; if the second result also matches, the element to be queried is in the blacklist. The present disclosure also provides a blacklist query system, an electronic device, a computer-readable storage medium, and a program product.

The invention provides a hydrological correlation value checking method and system based on data driving. The method comprises the steps that to-be-queried water level data of a drainage basin, all water level observation data of the drainage basin within a preset duration and flow observation data corresponding to all the water level observation data are obtained; constructing each array of the drainage basin according to each water level observation data in the preset duration and the flow observation data corresponding to each water level observation data; determining a subscript value corresponding to the to-be-queried water level data; and searching flow data corresponding to the to-be-queried water level data in each array of the drainage basin based on the subscript value corresponding to the to-be-queried water level data. According to the technical scheme, the flow can be efficiently and accurately inquired in the large-scale water level data, meanwhile, the value inquiry data are stored through the array, the inquiry process is simplified, and the inquiry speed is remarkably increased.

The invention discloses a model training and product information query method and device, equipment, a medium and a product, and relates to the technical field of artificial intelligence, and the method comprises the steps: determining at least one-order neighbor node corresponding to a target node as a target neighbor node according to a product relation network; according to the feature vectors corresponding to the target neighbor nodes, updating the feature vectors corresponding to the target nodes, and generating updated feature vectors corresponding to the target nodes; using the product structured information corresponding to the target node as a sample query word, using the updated feature vector as a sample feature vector corresponding to the sample query word, and training the to-be-trained model according to the sample query word and the sample feature vector to generate a feature vector prediction model; wherein the feature vector prediction model is used for predicting a corresponding target feature vector according to an original query word of a user, and the target feature vector is used for querying product information from a product specification. According to the invention, the effect of improving the accuracy of product information query is realized.

This application belongs to the field of computer technology, specifically relating to a data query method, a data query device, a computer-readable medium, an electronic device, and a computer program product. The method includes: parsing a data query request to obtain query conditions, the query conditions including one or more of a subject, an object, and a predicate, the predicate representing the logical relationship between the subject and the object; determining a target data partition in a graph database based on the query conditions, the graph database including a first-level data partition obtained by dividing regions according to the density relationship between nodes, the first-level data partition including a second-level data partition obtained by dividing regions according to the logical relationship between nodes; and retrieving data query results matching the query conditions from the target data partition. This application can improve data query efficiency and reduce resource consumption in the data query process.

The present invention belongs to the field of document analysis technology, and specifically discloses a method, system and program product for segmentation and aggregation query of engineering bidding documents, which identifies and analyzes the engineering bidding documents, splits them into several content blocks for word segmentation and vectorization, and then performs word segmentation and vectorization on the query content of the corresponding query subject, and then performs vector correlation calculation between the query and the blocks, selects the matching blocks for combination, and obtains the query results of the corresponding subject, so as to realize efficient and accurate content query of engineering bidding documents. Compared with the traditional manual reading and comprehension method, the present invention can restore the original content of the engineering bidding documents efficiently and at low cost, saves the time of manual reading, greatly improves work efficiency, and can prevent the situation of manual analysis errors, and to a certain extent avoid the written bidding documents from being cancelled, and meet the timeliness and accuracy requirements of users for the analysis of engineering bidding documents.

The invention relates to a traffic query method and device, a server and a readable storage medium. The method comprises the following steps: in response to a triggered network traffic query instruction, obtaining a text identifier of target network traffic carried in the network traffic query instruction; querying target network traffic in a flow table based on the text identifier; wherein the flow table stores a plurality of corresponding relationships between the network traffic and the corresponding text identifiers; each text identifier is determined according to the traffic parameter information of the corresponding network traffic and the network element parameter information when the corresponding network traffic flows through the network element. By adopting the method, the network traffic can be inquired in a complex network environment.

This invention discloses a credit control management method, apparatus, device, storage medium, and program product. It acquires credit control execution results for all user accounts in a business system according to a preset cycle. Each user account is associated with at least one main product, and each main product is pre-configured with a corresponding credit control lifecycle stage and associated credit control rules for each stage. Based on the credit control execution results, target user accounts in abnormal scenarios are selected. Based on the credit control rules of the main product to which the target user account belongs, an audit query is performed on the target user account. The audit query results are summarized, and a credit control verification report is generated based on the audit query results. Using this invention, scattered credit control rules can be effectively organized, product-level credit control lifecycle management can be established, automated and intelligent monitoring can be achieved, and management efficiency and user experience can be improved.

This disclosure relates to a data query method, apparatus, medium, and electronic device. The method includes: acquiring a query request input by a user, the query request carrying specified query conditions; separating specified indicators at different levels from the specified query conditions, and generating corresponding query sub-requests for each specified indicator; concurrently responding to the query sub-requests corresponding to each specified indicator, filtering data from a database according to the level corresponding to each query sub-request to obtain the dataset corresponding to each query sub-request; determining the indicator value of the specified indicator queried by each query sub-request based on the dataset corresponding to each query sub-request; merging the indicator values ​​corresponding to each specified indicator based on the positional relationship of each specified indicator in the specified query conditions to obtain a merged result, the merged result being used to characterize the query result requested by the query request, and capable of supporting accurate querying of the same database with the same Cartesian product data model on a generalized query platform.

This application relates to a method, apparatus, computer equipment, storage medium, and computer program product for analyzing vehicle fuel consumption. The method includes: upon detecting abnormal fuel consumption in a target vehicle, acquiring a heatmap of the target vehicle's driving trajectory and altitude data of the traveled path over a historical period; evaluating the target vehicle's fuel consumption in an operational scenario dimension based on the driving trajectory heatmap and altitude data, obtaining a first evaluation result; acquiring powertrain data of the target vehicle's internal powertrain and evaluating the target vehicle's fuel consumption in a configuration dimension based on the powertrain data, obtaining a second evaluation result; acquiring driving data of the target vehicle over a historical period and evaluating the target vehicle's fuel consumption in a working condition dimension based on the driving data, obtaining a third evaluation result; and determining the cause of the abnormal fuel consumption of the target vehicle based on the first, second, and third evaluation results.

The invention relates to the technical field of Tibetan medicine information arrangement, and discloses a Tibetan medicine informatization platform which comprises a medicine data cleaning module and a Tibetan medicine inheritance auxiliary module. The Tibetan medicine knowledge base module is used for integrating and storing classical literatures, disease diagnosis and treatment schemes and medicinal material information of Tibetan medicine; the scientific research and innovation module is used for tracking and managing scientific research projects related to Tibetan medicine, deeply mining and analyzing Tibetan medicine data and providing a communication and cooperation platform for scientific research personnel; the Tibetan medicine inheritance auxiliary module is used for managing Tibetan medicine inheritance data, planning an inheritance mode and way and evaluating the actual situation of inheritance work. According to the method, a more accurate medication scheme is provided for a patient by analyzing the flavor of the Tibetan medicine, the result can provide a basis for personalized treatment according to the individual difference of the patient, different patients possibly have different responses to different flavor, and the effect of the Tibetan medicine combination most suitable for the patient can be found through analysis.

The embodiment of the invention discloses a medical data sending method and device, equipment, a medium and a program product. A specific embodiment of the method comprises the following steps: acquiring patient information corresponding to a target patient from a patient information base; determining a treatment scheme set corresponding to the chief complaint disease by using a pre-constructed knowledge graph; in response to determining that the target patient has the drug being taken, for each treatment scheme in the treatment scheme set, determining whether the treatment scheme conflicts with the patient behavior and the drug being taken, and obtaining conflict information; screening out at least one first available treatment scheme from the treatment scheme set according to the conflict information set; and sending treatment scheme information corresponding to the at least one first available treatment scheme to a corresponding terminal. The implementation mode is related to intelligent medical treatment, and on the premise that no treatment conflict exists between the target patient and the target patient, accurate query of treatment data can be assisted for disease treatment reference.

The embodiment of the invention provides a risk interface identification method and device for an application system and computing equipment, and the method comprises the steps: determining front risk information, and obtaining a business scene log corresponding to the front risk information from business logs of the application system; generating a service search index according to the service scene log; acquiring a traffic access log of the application system; and querying the service search index in the traffic access log, and determining a target risk interface. By associating the traffic access log in the operation process of the application system with the service scene log, comprehensive risk identification and traceability investigation can be performed on the interface in the application system based on the dynamic operation condition of the application system, and each target risk interface corresponding to the pre-risk information in the application system can be inquired based on the multi-dimensional log data association. And the accuracy and comprehensiveness of risk interface identification are improved.

The invention provides a data query method, device and equipment, a medium and a product, and relates to the technical field of data processing. The method comprises the following steps: receiving a data query request for a target data element sent by an online transaction client; performing preliminary query according to indexes of a plurality of pre-constructed sub-arrays, and determining a target sub-array where the target data element is located; the plurality of sub-arrays form an original array, and the index of one sub-array comprises each data element in the sub-array and the position of each data element in the sub-array; querying again in the target sub-array, and determining the position of the target data element in the original array; and returning a re-query result to the online transaction client. Through the data query method provided by the invention, on the basis of not depending on pre-sorting of an original array, the number of query elements can be reduced, the time complexity of query can be reduced, and efficient real-time query can be realized.