22results about How to "Quick association" patented technology

The invention discloses a multi-modal image feature matching method and device, which are designed for the problem of difficult image matching in a complex scene, perform information extraction on an input image to obtain image features, and send a feature map into a rapid initialization module to generate information interaction between image pairs so as to establish effective association; the method comprises the following steps: simulating the basic logic of human observation images, constructing a mixed attention module, carrying out data enhancement on input images, purifying key points obtained after first rough matching by adopting a progressive matching strategy, carrying out information fusion and enhancement again, carrying out rough matching again, and then carrying out fine matching. Therefore, efficient and accurate image matching is realized. According to the method, feasibility verification is carried out on massive traditional images, then the traditional images are configured to multi-modal image data for training, and fine adjustment is carried out according to a test result, so that a reliable image matching result is efficiently generated under a difficult condition.

The invention discloses an intelligent machine account similarity matching generation method and system in urban grassroots government based on a government affair large model, belongs to the technical field of large model and urban management, and aims to solve the technical problem of how to automatically input report data, realize automatic matching of machine account metadata and report metadata, promote data standardization and improve the efficiency of data processing. According to the technical scheme, the method comprises the following steps: data integration and preprocessing: collecting various kinds of original data related to urban government through a government affair cloud platform, and carrying out cleaning and duplicate removal preprocessing operation on the original data to obtain preprocessed original data; meanwhile, personal or sensitive information is processed by adopting an encryption technology and a desensitization technology, so that the data security and compliance are ensured; feature extraction and large model construction; and carrying out intelligent similarity matching on the ledgers.

The invention discloses a network end relation accurate association method and device in XDR. The method comprises the following steps: receiving an equipment unique identification request of an EDR terminal and an equipment unique identification request of NDR equipment; corresponding equipment unique identifiers are respectively distributed to the corresponding NDR equipment and the EDR terminal; grouped device identification information is obtained from the NDR device, each group of device identification information comprises a unique device identification of the NDR device and unique device identifications of a plurality of EDR terminals, and the unique device identification of the NDR device is the unique device identification of the NDR device. The equipment unique identifier of the EDR terminal is obtained by monitoring corresponding NDR equipment and analyzing a TLS extension field according to a preset TLS custom handshake extension field, and the TLS extension field is constructed by the EDR management center according to the preset TLS custom handshake extension field and the equipment unique identifier of the EDR terminal. According to the invention, the rapid association and security analysis of the equipment and the host are realized, the detection and response efficiency of security events is improved, and the management and maintenance work in a complex network environment is simplified.

The invention relates to the technical field of information security, in particular to a method for dynamically creating a simulation environment based on a container technology. According to the invention, remote connection, configuration and dynamic management of the Docker can be realized, the tedious operation of managing and creating the Docker container by manually inputting a command line is reduced, and a drilling simulation environment can be quickly established according to actual needs to improve the efficiency of drilling participants, so that the efficiency in drilling actual combat is improved. And therefore, more time can be saved to be put into subsequent working links.

The embodiment of the application provides a financial document question and answer method and device based on a label hierarchical knowledge graph, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring original question data input by a target object; constructing a label hierarchical knowledge graph based on a preset financial field resource information base; performing label query on the original question data based on the label hierarchical knowledge graph to obtain a target graph label; performing document query on the financial field resource information base based on the target graph label to obtain an initial query document; performing document screening on the initial query document to obtain a target query document; performing text generation based on the target query document to obtain target financial reply content; and replying to the target object based on the target financial reply content. The embodiment of the application can improve the efficiency and accuracy of question and answer generation in the financial field.

The invention relates to an interaction method suitable for digital twin networking. The interaction method comprises the following steps of projecting a picture acquired by a camera to a screen; carrying out digital twinning matching through a digital twinning management system, generating a UI (User Interface), and segmenting regions; performing function endowing; a traditional management system is connected, and point position projection is carried out; function triggering in the virtual scene is fed back to the screen. Therefore, region segmentation can be performed on the screen through the UI interface, a virtual scene can be segmented into a plurality of regions in a traditional management system and a digital twinning project, and grouping correspondence is realized. Data of each area after scene segmentation can be managed independently, and matching of effective data in the areas is met. According to the invention, the trigger position of the emergency can be quickly identified, and a user can quickly associate the area where the emergency occurs. Therefore, the characteristics of the eagle-eye camera can be utilized to the maximum extent, and the aerial view panoramic state can be obtained.

The application belongs to the technical field of water industry, and relates to a multi-source data semantic interaction method and system for the water industry, comprising: analyzing and processing multi-source monitoring data collected in real time to obtain a structured semantic data set containing multiple parameters; based on a preset early warning threshold, performing abnormality judgment on a target parameter; the target parameter is a specific monitoring parameter selected in the structured semantic data set; when the target parameter is abnormal, based on a pre-constructed correlation retrieval fusion model and the structured semantic data set, calculating the causal correlation strength of a first-level correlation parameter directly correlated with the abnormal target parameter; and according to the causal correlation strength of the first-level correlation parameter, the structured semantic data set and a parameter correlation rule, dynamically reasoning the abnormal reason of the abnormal target parameter. The application breaks through the semantic barrier of multi-source monitoring data, improves the accuracy of alarm, can accurately locate the abnormal reason, realizes efficient decision-making, and adapts to the multi-scene requirements of the water industry.

The application discloses a traffic simulation signal lamp timing method and device, computer equipment and a computer readable storage medium, wherein the method comprises: creating a static description under a traffic simulation scene, the static description containing multiple signal lamps; creating a dynamic description according to the static description; selecting one signal lamp in the dynamic description and setting timing information for the signal lamp; setting the timing information of the signal lamp as a timing template and setting the timing mode of the signal lamp as using the template; automatically associating and setting the timing mode of at least one other signal lamp in the dynamic description as using the template; for the signal lamp with the timing mode of using the template, using the timing information in the timing template in the simulation process. After the timing template and the timing mode are initially set for the selected one signal lamp, the timing mode is associated and set for the multiple signal lamps, the timing information is associated and configured in batches and quickly, and therefore the configuration efficiency of the timing of the multiple signal lamps is improved.

The invention relates to the technical field of metering asset number marking packaging machines, and particularly provides a running state detection method of a metering asset number marking packaging machine, a terminal and a storage medium, and the method comprises the steps: obtaining a marking packaging image corresponding to the metering asset number marking packaging machine, and carrying out the processing of the marking packaging image, determining that an abnormal asset number exists in the engraved and packaged image; determining an abnormal type corresponding to the asset number, and determining at least one execution component in the metering asset number marking packaging machine corresponding to the abnormal type based on a preset mapping relation; and in the at least one execution component, determining a target component generating the abnormal asset number to determine that the target component has a fault, and determining a fault type corresponding to the fault, thereby realizing operation state detection of the metering asset number marking packaging machine. According to the invention, through automatic image processing and intelligent fault diagnosis, efficient and accurate detection of the operation state of the metering asset number marking and packaging machine is realized.

The application discloses an underground intelligent early warning cable and a preparation method thereof, and belongs to the technical field of cables. The cable comprises, from inside to outside, a core assembly, a wrapping assembly and an outer sheath assembly. The core assembly comprises at least one conductive wire core and a communication optical cable unit. The conductive wire core is in a twisted distribution, and the communication optical cable unit is arranged outside the conductive wire core. Each conductive wire core comprises a conductor, a temperature sensing optical fiber conductor unit and an insulation layer. A copper tape shielding layer is arranged outside the conductive wire core. Mica tape is arranged in the gap of the core assembly. The outer sheath assembly is low-smoke halogen-free polyolefin. Through the application, the communication optical cable unit and the temperature sensing optical fiber conductor unit are arranged, and the communication optical cable unit is arranged in the gap surrounded by the conductive wire core, so that synchronous transmission and backhaul of monitoring information are realized. Operation data can be quickly transmitted through the communication optical cable unit, and the problems of dispersed monitoring signal link, unstable transmission and feedback lag of traditional cables are avoided.

The present invention relates to a method and system for associating multiple vehicles in a cross-domain roadside perception, the method comprising the following steps: constructing a network graph structure for each roadside sensor node in a region, for integrating sensor perception data and calculating the corresponding node traffic status; constructing a spatiotemporal transfer model of traffic status based on a dynamic graph, and calculating the spatiotemporal correlation similarity between trajectory pairs under each node based on the model; extracting vehicle appearance features, fusing them with the spatiotemporal correlation similarity of trajectories to obtain an enhanced similarity index, and calculating the normalized enhanced similarity index using a spatiotemporal feature mask; constructing a similarity matrix for vehicle perception trajectory data sets of different nodes, and realizing the corresponding vehicle target association based on the similarity matrix. Compared with the prior art, the present invention is oriented to a roadside sensor network at the scale of an urban road network, and can effectively realize the rapid and accurate association of roadside perception data by comprehensively utilizing vehicle appearance features and the spatiotemporal transfer characteristics of traffic status between sensor nodes.

The invention discloses a method for constructing a metal micro-nano structure element sequence and mechanical properties at high throughput, and belongs to the technical field of metal material analysis and characterization application. On the basis of a material composition and structure high-throughput characterization technology, a continuous stiffness method is used for carrying out high-throughput characterization on the mechanical property of the nanoindentation in a specific area, and high precision, shallow indentation and high efficiency are achieved while the resolution ratio of a traditional nanoindentation test is improved; according to the method, multi-dimensional high-flux quantitative corresponding characterization of micro-nano-scale structure components, structures and mechanical properties in the same area of the metal material can be realized. The method is suitable for various metal materials, and rapid association among the four elements of the metal materials is achieved.

The system of the present invention dynamically calls artificial intelligence memory and emotion to interact with a large language model, including a processor, a remote server for processing the emotional state of an administrator, and a first display module for users with a first camera module installed and a second display module for administrators with a second camera module installed, respectively used to capture the user's face and the administrator's face; the user uses a first voice module, and the administrator uses a second voice module; the processor can run the following program modules: a knowledge acquisition module, a knowledge parsing module, an input module, and an evaluation module. The interactive knowledge management system of the present invention interacts with the user and the administrator respectively in terms of face and voice, realizes rapid association with other user faces in the same field or with the same preferences, and efficiently and accurately provides the knowledge data that the user is concerned about, realizes the administrator's emotional monitoring, and makes the managed knowledge data more able to avoid unexpected security issues.

This invention relates to the field of petrochemical safety production management technology, specifically to an intelligent on-site safety management platform for petrochemical plants. The platform comprises a perception layer, a transmission layer, a data layer, an application layer, and a display layer. These layers work together to achieve full-process coverage of on-site safety management in petrochemical plants. The perception layer is equipped with positioning terminals, health monitoring equipment, behavior recognition equipment, and environmental monitoring equipment to collect personnel location, health data, work behavior, and environmental parameters. The transmission layer utilizes a 5G private network, a WIFI local area network, and a ZigBeePlus wireless communication module to achieve high-speed and stable data transmission between the perception layer and the data layer. This invention, through ZigBeePlus three-dimensional positioning technology, achieves personnel positioning accuracy down to the meter level, accurately pinpointing the specific location of personnel in plant areas and confined spaces. Vital signs are linked in real-time with location data; when personnel exhibit health abnormalities or are in dangerous areas, the system can quickly trigger an early warning and lock their location, reducing rescue response time by more than 50% and significantly reducing the risk of personnel injury or death.

The present disclosure relates to the field of artificial intelligence and logistics management, in particular to a delivery equipment management method, equipment, a background system, a storage medium and a product. The delivery equipment management method comprises: in response to a binding operation triggered by a delivery object through an interactive interface of a first terminal equipment, displaying a viewfinder through the interactive interface; the delivery equipment controls the temperature of the heat preservation area of the delivery equipment by using a temperature control device; sending the background system according to the identity information to the delivery equipment, so that the background system binds the delivery object, the delivery order information of the delivery object and the delivery equipment according to the identity information, and sends the binding result to the delivery equipment and the first terminal equipment; the delivery goods indicated by the delivery order information is placed in the heat preservation area; and in the case that the binding result represents a successful binding, the temperature information of the delivery equipment is displayed through the interactive interface.

This invention discloses a method and apparatus for multimodal image feature matching, designed to address the challenging image matching problem in complex scenes. It extracts image features from the input image, feeds the feature maps into a rapid initialization module to allow information interaction between image pairs to establish effective associations, and simulates the basic logic of human image observation by constructing a hybrid attention module to augment the input image data. A progressive matching strategy is employed, refining the key points obtained after the first coarse matching and then performing information fusion and enhancement, followed by another coarse matching and a final fine matching, thereby achieving efficient and accurate image matching. This invention is validated on massive amounts of traditional images, trained on multimodal image data, and fine-tuned based on test results to achieve efficient generation of reliable image matching results even under challenging conditions.

This application discloses methods, apparatus, equipment, and media for interlaboratory quality assessment or data analysis in medical laboratories, relating to the field of medical laboratory testing technology. The methods include: generating a corresponding reference standard deviation based on randomly generated reference target values ​​and reference coefficients of variation; performing normal distribution random sampling to obtain reference reported values; linearly fitting the reference target values ​​and reference reported values ​​to obtain reference coefficients of determination; determining a new step size for the reference coefficient of variation to initiate a new external loop until the external loop ends; generating relative coefficients of variation based on the reference standard deviation; constructing a target mapping relationship matrix between each relative coefficient of variation and the reference coefficient of determination; determining the target relative coefficient of variation based on the target mapping relationship matrix and using the actual coefficients of determination of each actual sample; and obtaining the target sigma metric value using the target relative coefficient of variation, thereby obtaining the analytical and quantitative results of the actual interlaboratory quality assessment. This improves the accuracy and efficiency of interlaboratory quality assessment analysis.

The application provides a kind of urban area-oriented multi-source remote sensing data joint positioning method and system, comprising: obtaining several optical stereo images and corresponding connection point data, constructing optical stereo regional network, extracting laser elevation control point data and digital surface model data within the scope of optical stereo regional network;Calculate the ground coverage range of several optical stereo images, map the ground coverage range to the grid unit using the grid lookup table, obtain the accurate image coordinates of the laser points combined with the screened laser elevation control point data, and output the laser elevation control point set;Based on the rational function model and affine transformation, calculate the laser elevation control point set, and construct a multi-source remote sensing data joint adjustment function model;Solve the multi-source remote sensing data joint adjustment function model, form the observation error equation, and solve the observation error equation by heuristic search, output the adjustment model parameter result and the final connection point ground coordinate.

The utility model relates to a robot, in particular to an automatic unstacking and sorting robot for warehouse material boxes. Comprising an equipment platform which is provided with a material taking station and has a flat surface; two material taking areas are arranged in the equipment platform, and the goods shelf is placed in the material taking areas and composed of a frame and a plurality of supporting plates arranged in a layered mode. The beneficial effects of the utility model are that the material taking robot performs signal transmission with the material taking robot through the data and position information of the goods on the goods shelf in the warehouse, the material taking robot can perform quick positioning material taking only by inputting the information of the goods boxes, when a plurality of goods boxes need to be sorted, the optimization of the material taking route is realized through data calculation, and the sorting efficiency is improved. The material taking time is shortened, when the picking area is large, the design of a carrying system is not affected, the situations that when manual picking is conducted, time is consumed for finding containers, time is wasted due to repeated picking paths for multiple times, and efficiency is reduced are avoided, and the situations of process errors and object damage caused by human errors are reduced.

The present invention discloses an automatic association method for business documents, bank statements and electronic receipts. An association system is set up. The association system is connected with a business system and a capital system through data transmission interfaces. The association system obtains information data of the business documents, bank statements and electronic receipts through the data transmission interfaces and places them in different databases respectively. The association system has built-in key field association rules and custom configuration association rules. The association system starts an automatic matching program, successively adopts the key field association rules and the custom configuration association rules, cyclically matches the business documents and electronic receipts corresponding to the bank statements, and then establishes an association relationship between the business documents, bank statements and electronic receipts based on the information data of the bank statements, and stores the association relationship in the associated database.

The invention provides a camera debugging dump original data classification method and device, and the method comprises the steps: classifying the dump data of each scene into a respective folder, carrying out the recognition and correspondence of a jpg picture of a dump file in the folder and a jpg picture with a serial number, extracting the debugging information of the jpg, and displaying the debugging information in the name of the folder. The file folder named by the serial number of each scene and the debugging information is obtained, when a certain scene needs to be debugged, the file folder corresponding to the scene can be directly found according to needs, and a debugger can debug the corresponding scene conveniently. The problems that the number of mixed dump files of all cameras is large, scene dump files are difficult to find and similar scenes cannot be associated in the current mobile phone camera debugging process can be solved.

The invention discloses a time-space grid-based target track association method and device. The method comprises the following steps: acquiring track data information at a T moment, track data information at a T + 1 moment, a track data set at the T moment and time-space grid information; t is a positive integer; performing fusion processing on the T-moment track data information, the space-time grid information and the T-moment track data set to obtain T-moment track fusion result information; and carrying out fusion processing on the T moment track fusion result information, the space-time grid information and the T + 1 moment track data information to obtain target track information. According to the method, the global multi-source targets are put into the space-time grids, and the association degree between the targets is calculated, so that the rapid association of the target tracks can be realized, the whole-course target tracking of the multi-source targets is realized, the calculation complexity is reduced, and the fusion efficiency and accuracy of the association of the multi-source targets are improved.