291results about How to "Quick match" patented technology

The invention discloses a method for constructing a knowledge graph based on a large language model and a vector library, and relates to the technical field of knowledge graphs, and the method comprises the following steps: carrying out word segmentation, part-of-speech tagging and semantic analysis processing on a collected natural language text by using a pre-trained RoBERTa model to obtain a semantic representation vector of the natural language text; through a Seq2Seq framework and an attention mechanism, obtaining association between the semantic representation vector and the corresponding named entity, and obtaining the named entity through the obtained association; constructing a knowledge graph; fusing the constructed knowledge graph with a relational database of a preset field to generate a fused knowledge graph; named entities and corresponding attributes are obtained through dependency syntax analysis, the entity relation of the named entities is obtained, and a structured triple fusing the named entities, the attributes and the entity relation of the knowledge graph is constructed. In order to solve the problem of high entity linking difficulty in the prior art, the knowledge graph is converted into low-dimensional dense vector representation, and an inverted index database and the like are constructed, so that the difficulty is reduced.

The invention discloses a transformer substation three-dimensional parametric modeling method and system based on engineering design drawings. The method comprises the following steps: standardizing and correcting a design completion drawing of the transformer substation, and outputting a standardized drawing; the method comprises the following steps of: identifying buildings and power grid equipment and facility components in a transformer substation based on a standardized drawing, extracting geometric information and converting spatial positions to obtain a topological relation, converting extracted geometric parameters into information with definite constraint semantics, and forming modeling parameters according to the obtained spatial positions, semantic attributes, model parameters and the topological relation; and selecting a proper parameterization modeling method to carry out automatic model construction according to the modeling parameters in combination with machine account data, equipment, implementation classification and a predefined model component library. According to the method, the automatic construction technology of the parameterized model is researched by focusing on pattern recognition and semantic and topology extraction, 'associated automatic generation 'of the three-dimensional model of the transformer substation from zero to integer is realized, and the method has low-cost whole-station modeling capability.

The embodiment of the invention discloses a network security alarm processing method and device, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a network security alarm; retrieving a target text vector associated with the network security alarm in a network security domain knowledge base; the network security domain knowledge base is a knowledge base constructed after vectorization processing is carried out on network security corpora; based on the target text vector, an alarm vector corresponding to the network security alarm, a preset tool library and a large language model, obtaining a research and judgment processing flow of the network security alarm; executing a research and judgment processing flow; and obtaining a research and judgment result of the network security alarm based on an execution result of the research and judgment processing flow.

The invention provides an intelligent question-answering system for enteric microorganisms based on a knowledge graph and a large model, and intelligent question-answering in the field of enteric microorganisms is realized based on a Graph RAG technology by calling an available LLM through a constructed Keying enteric microorganism knowledge base. In the intelligent question-answering system for intestinal microorganisms, the knowledge richness of question-answering is remarkably improved. By combining the knowledge graph and the large language model (LLM), the system not only can provide direct knowledge points, but also can supplement context and background information and multi-level scientific interpretation, so that the answer content is richer and more comprehensive.

The invention provides an intelligentization-based human resource scheduling configuration method and platform, and the method comprises the steps: obtaining monitoring data of a monitoring device for a management region, and determining a dynamic scheduling region in the management region according to a monitoring frame corresponding to the monitoring data; performing region interference removal processing on the monitoring frame based on the scene restoration model to obtain an optimization frame corresponding to the dynamic scheduling region; according to the area layout information of the non-operation area in the optimization frame, determining a scheduling type corresponding to the dynamic scheduling area, the scheduling type including a special scheduling type and a cooperative scheduling type; and determining a personnel type corresponding to the dynamic scheduling area based on the scheduling type, determining a scheduling number corresponding to the personnel type according to the operation intensity index of the operation area in the optimization frame, and generating personnel scheduling data corresponding to the dynamic scheduling area based on the personnel type and the scheduling number.

The present application discloses a method for constructing a knowledge graph based on a large language model and a vector library, which relates to the field of knowledge graph technology, including: using a pre-trained RoBERTa model to perform word segmentation, part-of-speech tagging and semantic analysis on the collected natural language text to obtain a semantic representation vector of the natural language text; obtaining the association between the semantic representation vector and the corresponding named entity through the Seq2Seq framework and the attention mechanism, and obtaining the named entity through the obtained association; constructing a knowledge graph; fusing the constructed knowledge graph with a relational database of a preset domain to generate a fused knowledge graph; using dependency syntactic analysis to obtain the named entity and the corresponding attribute, obtaining the entity relationship of the named entity, and constructing a structured triple of the named entity, attribute and entity relationship of the fused knowledge graph. In view of the difficulty of entity linking in the prior art, the present application converts the knowledge graph into a low-dimensional dense vector representation, and constructs an inverted index library, etc., to reduce the difficulty.

The invention belongs to the field of industrial internet information security, and provides a dynamic and static fusion detection method for multiple ransomware based on network traffic analysis. The invention provides a more accurate and comprehensive method for a large number of multi-ransomware network requests and poor adaptability of a traditional method. Network traffic data are captured and monitored in real time through a network packet capturing tool and a traffic monitoring system, cleaning and feature extraction are carried out on the data, a traffic mode is analyzed to identify abnormal behaviors, then the system comprehensively judges the traffic by combining a static rule and a machine learning model support vector machine for dynamic detection, and when the abnormal behaviors are detected, the abnormal behaviors are detected. According to the method, a response mechanism is automatically triggered, malicious traffic is blocked and an alarm is sent, and finally, by continuously optimizing a rule set and a model, the accuracy and efficiency of detection are improved, and the system can better cope with intrusion attacks.

The invention discloses an activity recall matching method, system and device in a game scene and a medium, and the method specifically comprises the steps: setting activity configuration data according to business demand data of game activities, and storing the activity configuration data in a MySQL database, the activity configuration data comprising basic configuration data and advanced configuration data; constructing a Redis cache cluster, monitoring the MySQL database through a Canal component, and synchronizing the activity configuration data to the Redis cache cluster in real time; and acquiring user portrait attribute data from a preset game user database in real time, and determining an activity recall result of each user by matching the user portrait attribute data with the activity configuration data based on a preset activity rule matching engine. Accurate matching and personalized pushing of the activities are achieved, the activity conversion rate and the user participation degree are remarkably improved, and powerful support is provided for continuous optimization of game operation strategies.

The invention discloses a multi-region transportation service mode matching method and system, and particularly relates to the technical field of transportation services, and the method comprises the following steps: dividing user identities into order-sending users and order-receiving users, and respectively obtaining an order-sending requirement set of a target order-sending user and a service set of all order-receiving users in a non-order-receiving state; hard condition screening is firstly carried out, order receiving users meeting hard conditions are reserved, and then elastic condition screening is carried out; if the order receiving users meeting all the elastic conditions exist, direct matching is carried out; otherwise, carrying out portrait analysis by using K-means clustering based on the historical record of the target order issuing user, and evaluating a matching failure rate; according to a failure rate result, negotiation communication channels are successively established until consistent matching is achieved; the method can deeply understand the demand characteristics and behavior patterns of the order issuing user, provides highly personalized matching services, improves the service quality of the platform, and further enhances the loyalty and satisfaction of the user.

The invention relates to the technical field of energy storage systems, in particular to an energy storage system sensor fault monitoring method, which comprises the following steps: acquiring health data of an energy storage system sensor at historical nodes; the method comprises the following steps: matching a current monitoring time node with a historical node, obtaining theoretical data of an energy storage system sensor at the current monitoring time node, collecting real-time data, determining abnormal data, and determining a fault category of the energy storage system sensor by using a preset classification algorithm. According to the invention, by obtaining the historical node health data and matching the historical node health data with the current monitoring time node, a more accurate theoretical data reference can be provided for the current monitoring time node, so that abnormal data can be more accurately determined when the current monitoring time node is compared with real-time data; through rapid matching of the current monitoring time node and the historical node and rapid acquisition of theoretical data, real-time data can be rapidly analyzed in the monitoring process, abnormal conditions can be found in time, and the real-time performance of energy storage system sensor fault identification is improved.

The invention belongs to the technical field of ecological monitoring, and discloses a forest ULS-TLS point cloud automatic registration method based on ground context description, and the method employs a ground point as a registration element, constructs a ground context, can directly achieve the registration of TLS single scanning data to a ULS point cloud, and does not need the pre-registration of different scanning point clouds of a TLS. The extraction process of the ground points is relatively standardized, stable and reliable results can be obtained generally, and the method is not affected by distribution, density and shape complexity of trees in the forest. Compared with extraction of tree attributes, the ground points are used as registration primitives, so that the calculation cost is reduced, and high calculation overhead caused by extraction of the tree attributes is avoided. The invention aims to provide a forest ULS-TLS point cloud automatic registration method based on ground context description so as to quickly, accurately and automatically realize registration of forest ULS and TLS point clouds, comprehensively obtain forest structure information and promote application of a laser radar technology in forest investigation.

The invention relates to the technical field of monitoring equipment, in particular to multi-optical-axis optical imaging infrared night vision equipment and a control method thereof. Fusing the real-time image data of each optical axis to generate a fused real-time imaging image; if the image entropy of the real-time imaging image is greater than a preset threshold value, the real-time imaging parameter of the infrared night vision equipment is not regulated and controlled; if the image entropy of the real-time imaging image is not larger than a preset threshold value, an imaging parameter deviation value of an imaging module is obtained, a preset deviation correction measure is obtained according to the imaging parameter deviation value in combination with matching of a B tree-index map, and real-time imaging parameters of the infrared night vision equipment are regulated and controlled according to the preset deviation correction measure. According to the invention, the imaging quality, the stability and the adaptive capability of the infrared night vision equipment in the monitoring work are effectively improved.

The invention provides a resource delivery method, system and device based on user information and a storage medium. The method comprises the steps of obtaining user information of different channels; performing data processing on the user information to obtain target user information; establishing a user information database to store target user information and target follow-up role information; distributing the target user information to follow-up equipment of the target follow-up role, so that the follow-up equipment obtains a user demand according to the target user information, and obtains follow-up result information according to the user demand; generating an information report according to the target user information and the follow-up result information, and obtaining first user conversion rates of different channels according to the information report; and optimizing resource delivery of different channels according to the first user conversion rate. By effectively managing the user information, resource allocation can be optimized, invalid resource release is avoided, and the resource utilization rate is improved.

The embroidery machine thread clamping device and method based on matching of the yarn color and the pattern color comprises a thread clamping device shell and a thread stand, the thread clamping device shell is provided with a spring thread clamping device, a thread winding wheel, a thread passing wheel and a thread clamping device, the thread clamping device shell is further provided with an LED lamp changing according to the yarn color, the color of the LED lamp is consistent with the yarn color, and the thread stand is arranged on the thread clamping device shell. The thread stand is provided with a camera, the camera is used for photographing the thread spool mounted on the thread stand, and the color of yarn on the thread spool obtained by photographing is matched with the color of a computer pattern of the embroidery machine, so that the color of the LED lamp is controlled. According to the LED lamp changing the color of the yarn, the color of the LED lamp is consistent with the color of the yarn, the embroidering yarn can be visually found and conveniently observed, and the color of the yarn on the bobbin obtained by photographing is matched with the color of a computer pattern of an embroidery machine, so that a designer can be helped to quickly identify and match the color; that is, the colors of the yarns on the corresponding spools of the embroidery machine are automatically matched to the designed pattern colors, and manual color matching is not needed.

The invention provides a ship block pose accurate measurement and calculation method, which comprises the following steps: step 1, carrying out measurement point location arrangement, including selection and arrangement of key measurement points, selection and arrangement of relative measurement points on the side surface of a block, and selection and arrangement of common reference points; 2, based on the measurement points in the step 1, block data measurement is carried out, and point position measurement is carried out based on the constructed coordinate system; step 3, carrying out coordinate transformation on the measurement data, and solving the relevance between two coordinate systems; and 4, calculating the pose of the block based on a three-point method and an improved ICP (Inductively Coupled Plasma) to obtain the pose information of the block. According to the method, the arrangement scheme of key measurement points, public reference points and an overall measurement system is designed in combination with block alignment characteristics, so that a high-precision measurement system is built; a mode of combining initial matching of a three-point method and an improved ICP algorithm is proposed to solve the pose of the total segment; quicker and more accurate matching is realized, and the iteration rate and the matching precision are respectively improved.

The system comprises a data acquisition module, an operation and maintenance personnel qualification classification module, a fault category and grade division module, a fault and operation and maintenance personnel matching module, an operation and maintenance personnel identity verification module, a maintenance result uploading module and an effect evaluation module. The data acquisition module, the operation and maintenance personnel qualification classification module, the fault category and grade division module, the fault and operation and maintenance personnel matching module, the operation and maintenance personnel identity verification module, the maintenance result uploading module and the effect evaluation module are in communication connection in sequence; according to the elevator on-demand priority maintenance and effect evaluation method, device, equipment and system based on artificial intelligence, elevator fault data and operation and maintenance personnel data are collected, and classification, fault grade division and operation and maintenance personnel qualification division are performed on elevators, so that elevator faults can be quickly responded, and the operation and maintenance efficiency is improved. And the elevator maintenance process is more standard, and the elevator can be conveniently maintained.

The invention relates to a multi-source data reconciliation system based on a HASH structure and color marking, the searching and matching efficiency is improved by adopting the Hash structure and matched reconciliation data, then random colors are generated by using an HSL algorithm and color marking is performed on a matching result, the readability of the reconciliation result and the user experience are enhanced, and then the reconciliation efficiency is improved by adopting a Timsort sorting algorithm. The colors are sorted according to the sequence of hue, saturation and brightness, the rows with the same color are arranged together, and the rows with unmarked colors are arranged at the last, so that the sorting efficiency and stability are improved; according to the multi-source data reconciliation system provided by the invention, the complexity of maintenance and management is reduced while the automation and accuracy are improved, and an efficient and reliable multi-source data reconciliation solution is provided for various enterprises and merchants.

The present invention relates to the field of intelligent control technology, specifically to a digital control method and system for the online operation of multiple punching machines, which obtains production line historical data and real-time collection of punching machine operation status data, combines product appearance images and quality inspection parameters, realizes product appearance defect detection through the YOLOv7 model, generates offset quality inspection parameters in combination with quality inspection standards; and generates process abnormality positioning results using the offset quality inspection parameters and appearance defect detection results. The process abnormality positioning results are fused with the punching machine operation status data to form multimodal comprehensive operation feature data for identifying abnormal processes. After the abnormal process is detected, the abnormal propagation path is analyzed through a dynamic working condition adaptive graph neural network model, the current working condition characteristics are extracted, and similarity matching is performed with historical data to extract the best historical reference parameters. The production process adjustment parameters are generated by dynamically correcting the historical reference parameters. The adaptive ability and flexible response ability of the production line to complex working conditions are improved.

The invention relates to the technical field of software systems, and particularly discloses a port operation scheduling system and method for high-concurrency businesses, and the scheduling system comprises a data processing module, a rule label field mapping module, a rule engine module and a scheduling module. The system has the beneficial effects that service rules can be created and modified according to real service management requirements through the rule engine module and stored in the rule base, the data processing module processes received data and matches corresponding rule labels, and the corresponding service rules can be quickly matched by identifying the rule labels; therefore, the corresponding scheduling instruction is generated, and the scheduling efficiency of the port facility equipment is improved.

The present invention discloses a data processing method and system for satellite temperature telemetry, wherein the data processing unit is used to obtain the working temperature of each working part of the satellite measured by thermistors, and to process the satellite temperature telemetry data, to eliminate wild values ​​and fill missing values; the present invention relates to the field of data processing technology. The data processing method and system for satellite temperature telemetry can obtain data of good quality through the data processing unit when there are many wild values ​​and missing data in the actual telemetry data, and avoid jamming caused during data transmission under the action of the transmission node unit, thereby improving the stability of the data transmission process. The prediction model unit can generate a temperature change prediction model based on the existing data, so as to facilitate the subsequent early warning analysis unit to perform analysis and early warning, and can also quickly match the corresponding fault parameters, saving more time for fault location, and making data processing more timely and accurate.

The invention provides a half-height container transportation sharing method and platform, and the method comprises the steps: determining splicing conditions corresponding to a first user side and splicing attributes corresponding to the splicing conditions according to a transportation sharing request of the first user side, and enabling the splicing attributes to comprise a rigid attribute and an elastic attribute; obtaining shared containers of the second user sides, and performing primary screening on the shared containers according to the assembly conditions of the hard attributes to obtain candidate half-height containers; performing matching analysis on each candidate half-height container according to the assembly condition of the elastic attribute to obtain assembly pairing data of each candidate half-height container; and calling a recommendation strategy to carry out personalized processing on the assembly pairing data to obtain transportation recommendation data, and sending the transportation recommendation data to the first user side.

The invention provides a sodium battery self-adaptive control system. The system comprises a controller; a sodium battery pack; a sodium electricity protection plate; a voltage detection line EF; an electric door lock; the sodium battery capacity-increasing adapter is used for outputting a voltage signal of the sodium battery pack as a constant voltage signal and outputting the constant voltage signal to the controller after the voltage signal is subjected to step-up / step-down processing, so that the controller normally controls the vehicle to work; a sodium electricity capacity-increasing adapter is installed on a voltage detection circuit EF, voltage signals of a battery pack are output to a controller in the form of constant-value voltage signals after being subjected to voltage boosting and reducing processing through the sodium electricity capacity-increasing adapter, the controller stably keeps working, and the sodium electricity battery pack stops working until the voltage of the sodium electricity battery pack reaches sodium electricity low-level protection voltage. And when the sodium battery of the storage battery car is replaced, the controller stops working, the electric quantity of the sodium battery pack is completely released, and the technical problem that the controller is not matched with the sodium battery when the sodium battery of the storage battery car is replaced in the prior art is solved.

The application discloses an article recommendation method and related device, and relates to the field of article recommendation. According to the article ID contained in the article recommendation request, a positive query result is obtained. If the positive query meets the first missing level, and the incremental benefit evaluated based on the article recommendation scene data is not less than the first benefit threshold, a semantic vector is generated according to the article key field to recall a first group of candidate articles similar to the current article from a vector library, a second group of candidate articles corresponding to the current article is recalled from other multiple different databases, multi-dimensional feature fusion evaluation and sorting are performed on each candidate article, and the top N articles are selected as recommended articles. The application reduces invalid filling of low-value recommendation requests through information missing level and incremental benefit evaluation. When the positive feature is missing, candidate articles are recalled from the vector library and multiple different databases outside the vector library, multi-dimensional feature fusion evaluation and sorting are performed on each candidate article, and article recommendation is realized.

The invention relates to a malicious software detection method based on a block chain, and belongs to the technical field of malicious software detection.The method comprises the steps that firstly, known malicious software is subjected to static analysis, permission characteristics are obtained, and character strings are obtained; calculating a locality sensitive hash value of the character string; building a block chain environment, deploying each malicious software detection node in the block chain environment, and storing the locality sensitive hash value of each malicious software in the block chain environment by using an intelligent contract; by writing the smart contract, each node calculates the TLSH distance between the locality sensitive hash value of the to-be-detected software and the locality sensitive hash value of malicious software stored on the chain to obtain the final distance between the software, the final distance is compared with a set distance threshold, and if the maliciousness of the to-be-detected software is not detected, the software maliciousness of the to-be-detected software is detected. And if yes, performing secondary detection on the to-be-detected software based on a federated learning technology. According to the method, the blockchain and the locality sensitive hashing technology are combined, so that malicious software information sharing is realized while the malicious software detection timeliness is improved.

The invention relates to a network authentication method and device based on ISTIO and OPA, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: deploying a service agent Envoy and an OPA Agent in a sidecar mode in a minimum deployment unit Pod containing the OPA; the method comprises the following steps of: configuring an Istio, generating a Service Entry resource and an Extension Provider resource, and opening a service port of an OPA (Open Power Area); the method comprises the following steps of: customizing the content and the effective range of an authentication strategy of the OPA by configuring an OPA Policy resource; synchronizing the authentication strategy to a corresponding Pod in a multi-cluster environment by using a synchronous compensation mechanism; constructing a reverse index, and mapping the label of each authentication strategy to a resource list with the corresponding label; and under the condition that the resource with the preset tag needs to be searched, querying the reverse index to obtain a corresponding resource list. By adopting the method, the network authentication process is more efficient, flexible and easy to manage through automatic management and calculation, distribution and retrieval of the optimization strategy.

The invention belongs to the technical field of internet big data, and particularly relates to a method for screening same-name and same-party drug control drugs, which comprises the following steps: S1, acquiring basic information of listed drugs, performing data processing and standardization processing, and storing the basic information into a database A; s2, acquiring and processing admission-related data of drugs, and storing the data into a database B; s3, taking medicine names as keywords, and respectively matching basic data and access related data of each medicine from the database A and the database B; establishing a medicine entry of each medicine in the database C, and integrating the matched basic information of the medicine and the admission related data into the corresponding medicine entry; s4, according to research and development requirements of the same-name and same-prescription medicines, establishing screening conditions of the same-name and same-prescription control medicines; screening the data in the database C according to the screening conditions to obtain the same-name and same-prescription control drug data meeting the use requirements; the method can be used for rapidly and accurately screening out the same-name and same-prescription control drugs meeting various conditions.

The invention relates to the technical field of data transmission, in particular to a processing and risk assessment method and device for mass files and asset data and a medium, and the method comprises the steps: dividing to-be-processed mass files and asset data into a plurality of data clusters; based on a duration evaluation algorithm and a risk evaluation model, calculating the expected total processing duration and the risk level of each data cluster, and processing each data cluster according to the expected total processing duration and the risk level; performing real-time feature extraction and vectorization representation on the asset data, and matching asset features with a risk information feature library to identify and evaluate the risk of the asset features; when it is monitored that the data cluster transmission state or asset data analysis is abnormal, an auxiliary processing thread is started to continue executing the next task in the data cluster, the average processing speed of the corresponding data cluster is updated, and the total processing duration of the remaining tasks is evaluated again. Therefore, the data processing efficiency and the data security of the power system are improved.

The application discloses a kind of full-process supervision systems based on visual offline identification, and the application relates to component production technical field, it is solved that existing technology mostly stays in single size comparison level, lack of the problem of full-process integrated supervision mechanism from model generation, standard matching, automatic splicing to assembly verification, the unified check feature of the present application is constructed by built-in midpoint, plane midpoint and feature vector, corresponding three-dimensional standard model can be matched from model database quickly and accurately, the identification logic is stable, and the anti-interference is strong, effectively avoid the model mismatching problem caused by similar appearance;Through the vector comparison of reference feature and component feature, length difference and included angle calculation, the assembly accuracy can be quantitatively judged, and the assembly standard, correctable and substandard state can be distinguished, the visualization and digitization of assembly quality are realized, the on-site quick error correction and traceability are facilitated, and the assembly reliability and overall production quality of flow line are effectively improved.

The utility model discloses an interface assembly of electronic equipment, the electronic equipment, an endoscope system and a connector combination, and relates to the technical field of medical instruments. The interface assembly comprises a main body and at least two interface parts arranged on the main body, wherein the interface parts are used for being in butt joint with a connector of an endoscope; wherein the interface part is provided with an interface for correspondingly installing a terminal device in the electronic equipment; in the at least two interface parts, at least part of the interfaces are different in shape and are used for being in butt joint with connectors of endoscopes of corresponding shapes respectively, and the interfaces are matched with the connectors of the corresponding endoscopes. The scheme at least can be used for solving the problem of mis-plugging of the connector and the interface in related multi-lens application scenarios.