45results about How to "Efficient update" patented technology

The invention discloses an advertisement compliance knowledge question-answering method, device and equipment for foreign enterprises, and the method comprises the steps: obtaining advertisement compliance data of a global data source, carrying out the document structuring and knowledge extraction of the advertisement compliance data, and constructing an advertisement compliance knowledge graph; converting text data in the advertisement compliance knowledge graph into vectors to obtain vector data; semantic analysis is conducted on a query question input by a user, construction is conducted in combination with the vector data, prompt words are obtained, the prompt words are input into a preset large language model, and target answers are obtained; and outputting the target answer based on the advertisement compliance knowledge graph, and visually displaying the target answer in a corresponding answer query graph. And comprehensive and efficient compliance information query and answer services can be provided, so that compliance review requirements of foreign enterprises on advertisements in a multi-language and cross-regional environment can be met.

The invention relates to a pollutant concentration diffusion simulation method based on grid optimization and self-regulation. The method comprises the following steps: carrying out basic grid division on a simulation area to obtain a basic grid; calculating a pollutant concentration field of the simulation area according to the spatial position and the pollutant concentration value of the monitoring station; generating a concentration distribution matrix according to the pollutant concentration field of the simulation area, and then dynamically adjusting the grid density of the basic grid; calculating the calculation complexity of each grid region by using the grid density of the adjusted basic grid, carrying out pollutant concentration calculation task allocation according to a cloud platform and a weighted polling algorithm, and forming a pollutant concentration distribution prediction result of the simulation region by a pollutant concentration prediction result of each grid; and dynamically adjusting a pollutant concentration distribution prediction result according to the Kalman filtering and the obtained real-time environment data to obtain a final pollutant concentration prediction value. By adopting the method, the precision and the real-time performance of pollution diffusion simulation can be improved.

The invention discloses a topographic data updating method, a topographic data updating device and electronic equipment. The method comprises the following steps: receiving initial topographic data of an operation scene of the transportation equipment and map boundary data of an operation area of the transportation equipment in the operation scene; based on the initial topographic data and the map boundary data, determining a work attention area; in response to running of the transportation equipment in the operation area, scanning the operation attention area through a sensing system of the transportation equipment to obtain current topographic data of the operation attention area; based on the current topographic data and the initial topographic data, determining a topographic change region in the work attention region; and controlling the transportation equipment to carry out topographic data acquisition on the region with the topographic change, and updating the initial topographic data of the work attention region and the map boundary data of the work region based on the acquired topographic data. According to the invention, the technical problem of poor freshness and precision of map updating of the mine operation scene is solved.

The invention discloses a low-age face aging method based on age and key point guide generation, and mainly solves the problems that in the prior art, a high-quality aging image cannot be generated for a low-age face, and the high efficiency of a processing flow and the accuracy of a target cannot be kept at the same time. According to the implementation scheme, the method comprises the following steps: constructing a training set and a test set of 0-20-year-old face images, and endowing each image with a corresponding age label; key point detection is carried out on the training set, and a detection result is converted into a Gaussian distribution diagram; constructing a face image generative adversarial network generated based on key point information guidance and loop conditions; designing continuous age conversion loss and constructing network overall loss; training the network through the training set and the Gaussian distribution diagram until the total loss is converged; and loading the test set into the trained network to generate face images of all age stages. According to the method, the aged image with higher quality can be generated for the low-age face, and the naturalness of the generated image is improved.

The invention discloses an automatic updating method and device for metadata of a scientific data set, electronic equipment and a storage medium. The method comprises the steps that a scientific data set portrait is constructed according to information submitted by a data producer, user behavior group image features are extracted according to user data interaction behavior records associated with a scientific data set, and scientific data set sharing use features are extracted according to scientific data set sharing use records; generating a feature change index based on the user behavior group image feature and the sharing use feature, performing variable difference analysis based on the feature change index and the corresponding scientific data set portrait, generating a metadata update demand index and generating a metadata update trigger condition, and automatically updating the metadata when the metadata update trigger condition is met. Through an automatic metadata updating mechanism, in combination with scientific data set portrait construction, user behavior group image feature extraction and shared use feature analysis, the intelligent level and the use efficiency of data management are improved.

The invention relates to the technical field of engraving control, in particular to an engraving control method and system. The method comprises the following steps: acquiring a sculpture design planar graph, marking the shape outline of the sculpture design planar graph, and generating a three-dimensional sculpture model; thirdly, engraving requirement data are obtained, and the raw materials are classified into wood and stone; if wood raw materials are selected, temperature and humidity monitoring is carried out, the stress warping condition is analyzed, and compensation planning is carried out through linear regression. If stone raw materials are selected, internal cracks of the stone raw materials are analyzed through X-ray scanning, cutting fracture limit stress is recognized, and carving logic design is conducted based on the cutting fracture limit stress. And finally, in combination with wood compensation planning and stone carving logic, automatic carving control firmware is designed and uploaded to the cloud platform to execute the carving control method, and automatic precise carving is achieved. The engraving control technology is optimized, so that the engraving control technology is more perfect.

The invention discloses a method and a system for constructing a folk song inheritance atlas. The method comprises the following steps: acquiring lyric song text data of a folk song sample; dividing the subordinate relationship hierarchical structure of the folk song according to the text description; on the basis of the divided subordinate relationship hierarchical structure of the folk songs, representing the folk song samples as triads, and storing the triads into a database; generating a civil song sample tree based on the obtained civil song sample triple data; based on nodes with non-final knowledge in the civil song sample tree, performing reforming construction on the civil song sample tree to obtain a complete civil song sample tree; the method for constructing the civil song inheritance atlas based on the triple has the advantages that the civil song sample tree is constructed and the query efficiency is optimized through the digitalized and structured data model, and the systematic storage and inheritance efficiency of civil songs is effectively improved.

The invention discloses a method for protecting a privacy account based on big data joint training, and relates to a method for protecting the privacy account. The invention aims to solve the problem that a traditional privacy account protection means cannot really achieve the purpose of protecting a privacy account of a user. The method comprises the following steps: establishing a user account data management system; inputting user common login position information and password input speed information into a user account data management system, and training the input information; when the user logs in the account, the user account data management system compares the common login position information of the user with the password input speed information, and after the comparison succeeds, a verification image is displayed; performing sharpness processing on the verification image; after verification succeeds, the user is allowed to enter, otherwise, the abnormal condition transmitting module transmits abnormal condition information to the user; and after the user confirms the abnormal condition information, authorization information is transmitted to the abnormal condition user confirmation module. The invention belongs to the technical field of network account security.

The invention relates to the technical field of operation identification, in particular to a medium-voltage power distribution network transfer operation identification method, system and device. The method comprises the following steps: acquiring feeder line real-time data and transformer area real-time data; performing data preprocessing on the feeder line real-time data and the transformer area real-time data to generate a transformer area feeder line processing data set; acquiring a power grid historical data set; performing two-dimensional curve fitting analysis on the power grid historical data set and the area feeder line processing data set to generate area feeder line two-dimensional fitting data; carrying out abnormal and disharmony area judgment on the two-dimensional fitting data of the feeder line in the transformer area, and generating load fluctuation voltage abnormal data; therefore, through a data-driven multi-level analysis and judgment method, the problems of dependence on artificial experience, response lag and the like in the traditional power grid transfer operation are solved, and the intelligent level and decision accuracy of the medium-voltage power distribution network transfer operation are improved.

The invention discloses a silencing device for an outlet of a fire-fighting smoke exhaust fan. The silencing device comprises a mounting cylinder and a plurality of components assembled in the mounting cylinder, wherein the components comprise a smoke dust cleaning component, a heat exchange silencing component, a smoke dust collecting tank, an adsorption component and a smoke dust discharging component. The smoke cleaning assembly is located at the top of the mounting cylinder, the heat exchange silencing assembly and the smoke collecting tank are connected to the bottom of the mounting cylinder, the adsorption assembly is connected to the bottom of the heat exchange silencing assembly, and the smoke discharging assembly is connected to the bottom of the smoke collecting tank and located on the inner side of the adsorption assembly. The device forms a closed cold air through cavity, and a smoke outlet is formed in the bottom, so that effective smoke emission is ensured. In addition, the device further comprises a stirring assembly, a conveying assembly and a driving assembly which are connected with the adsorption assembly and the smoke dust discharging assembly respectively. Not only is the silencing effect remarkably improved, but also the functions of smoke cooling, dust removal and toxic and harmful substance treatment are integrated, many problems in the prior art are effectively solved, and a safe, environment-friendly and efficient smoke exhaust silencing device is provided for the field of fire protection and smoke exhaust.

The invention discloses a tunnel rockburst dynamic susceptibility evaluation method driven by rockburst case data. During rockburst susceptibility evaluation, an incomplete or inaccurate database can reduce the accuracy of a susceptibility evaluation result. The method comprises the following steps: 1, collecting rockburst case data; 2, calculating the similarity of numerical factor indexes; 3, correcting the similarity of the category-type indexes; 4, evaluating the rockburst susceptibility; and 5, performing dynamic updating on the rockburst susceptibility based on data driving. According to the method, on-site rockburst susceptibility evaluation is more and more accurate through continuous increase of rockburst cases, and disaster-causing information factor characteristics can be extracted; meanwhile, the problem that the factor weight is manually given by a traditional statistical model is avoided, and the weight is prevented from being subject to subjective factors and sample data images.

The invention discloses a routing file updating method and device, computer equipment and a storage medium. The method comprises the following steps: scanning a local file system, and determining at least one local file directory; all local file directories are monitored, and target file directories with routing path changes and corresponding target file path arrays are obtained; generating a target routing tree object according to the target file path array; and updating the routing file based on the target routing tree object. According to the method, the target file directory with the routing change can be determined in real time, the method is relatively efficient, the target routing tree object corresponding to the target file directory can be automatically generated, the target routing tree object does not need to be manually named, manpower and material resources are saved, the target routing tree object can be relatively efficiently generated, and the user experience is improved. The target routing tree object can be directly written into the routing file in the local file system, and the purpose of updating the routing file of the local file system efficiently is achieved.

The invention discloses an ROS2-based routing inspection robot mapping and multi-point navigation method, which introduces an advanced Cartographic algorithm for mapping, combines an A * algorithm and a TEB algorithm for path planning, and realizes multi-point navigation, so that a robot can more quickly and flexibly deal with a complex environment and meet diversified routing inspection task requirements. Meanwhile, perfect system configuration and environment construction are adopted, including a Ubuntu system of a specific version, an ROS 2 issuing version and collaborative configuration of related software and hardware, and guarantee is provided for stable operation of the whole system.

This invention relates to the field of indoor geomagnetic positioning technology, specifically to a method for dynamic maintenance of geomagnetic fingerprint maps based on mobile robots. The method includes multimodal data acquisition and spatiotemporal alignment to establish a correspondence between sensor data and global map coordinates; constructing a cross-confidence mechanism using geomagnetic anomaly factors and visual verification factors, and accurately triggering map updates using a time decay accumulation model; identifying newly added magnetic objects and extracting their parameters, calculating the radius of influence of the disturbance field using a magnetic field disturbance model; and employing a region-growing local incremental update method, introducing a boundary smoothing factor to ensure map continuity. This invention achieves autonomous and efficient maintenance of geomagnetic fingerprint maps without requiring global rescanning or additional hardware, improving the stability of geomagnetic positioning for mobile robots. Simultaneously, the accurate triggering of updates through a dual-modal cross-confidence evaluation mechanism enhances the accuracy of geomagnetic fingerprint map updates.

The present invention relates to the field of intelligent traffic monitoring technology, and specifically to a weather-adaptive highway event recognition method, system, device and medium. The method comprises: obtaining historical video data and meteorological data of various abnormal events on highways and dividing them into data sets of different meteorological types; constructing a highway event recognition model, which introduces an MLLA layer in a feature extraction network of a YOLOv10 model; pre-training the highway event recognition model based on data sets of different meteorological types; obtaining the monitoring results of meteorological data of each section in real time and determining the meteorological type of each section; switching to a highway event recognition model of a corresponding meteorological type based on the meteorological type of each section to recognize abnormal events of each section, thereby improving the recognition accuracy and efficiency of abnormal events on highways under severe weather conditions, and timely responding to the monitoring needs of rapidly changing highway road conditions under severe weather conditions.

The invention provides a pumped storage power station 5G + BIM intelligent interaction management system, and the system comprises a sensing layer which is used for collecting earthwork vehicle transportation data, dam rolling data, underground cavern construction data and monitoring data, and achieves the dynamic data updating of a BIM model through a 5G camera, a sensor and construction data; the network layer transmits dynamic data of the BIM model through a 5G private network, and allocates communication resources according to service requirements by adopting a network slicing strategy; the data layer is used for fusing dynamic data of the BIM model, including BIM geometric data, sensor real-time parameters and construction data, and constructing a dynamic digital twinborn database; and the application layer performs construction state early warning and construction scheduling based on design parameters and sensor parameters and a BIM model, generates a decision instruction through a deep learning algorithm, and realizes data deep fusion, network resource optimization and emergency capability improvement by fusing 5G high-reliability communication, BIM dynamic modeling and AI intelligent decision.

This application provides a data processing method and electronic device. The device identifies geological information by attribute recognition, determines multiple recognition events, and filters them by confidence level, converting them into data packets carrying adjustment actions. At the same time, it calculates the difference between each data packet and the 3D geological model to determine the transmission method, prioritizing the uploading of key geological changes. After receiving the data packets, the cloud accurately locates them in the corresponding target area in the overall model using spatial anchor points and binds them. However, the bound target area may be associated with multiple data packets with inconsistent update directions. Therefore, it is necessary to construct conflict vectors and determine conflict weights for the data packets corresponding to the target area. Then, based on the adjustment actions of each data packet, the conflict vectors, and the conflict weights, the adjustment method of the target area is determined and a local update is performed. This can obtain accurate and traceable incremental update results for the model, facilitating efficient, accurate, and traceable local updates of the 3D geological model under weak network conditions.

The application provides a 4D space-time field construction method and device based on neural field reconstruction, and relates to the technical field of data processing. The 4D space-time field construction method based on neural field reconstruction comprises the following steps: performing supervision information labeling on a plurality of three-dimensional coordinates in a to-be-processed 3D model to obtain a plurality of training data samples, thereby constructing a training data set; dividing a three-dimensional space into a plurality of cubic grids of the same size, each grid corresponding to a neural network inside, thereby constructing a block neural field model; training the block neural field model based on the training data set to obtain a target 4D space-time field; and updating the target 4D space-time field in response to local data update of the to-be-processed 3D model. Through block neural field modeling and a continuous learning mechanism, the application converts dynamic update of the 4D space-time field into an incremental inference problem of the neural network, thereby realizing efficient update of the 4D space-time field.

The present invention discloses a term processing method based on deep learning, which belongs to the technical field of natural language processing. The method comprises the following steps: constructing a BERT+BiLSTM+CRF model to extract terms, utilizing a feature extraction algorithm in combination with a multi-layer perceptron MLP model to perform difficulty-layered annotations on terms, and performing style adjustment through a natural language processing model T5. The method solves the technical problem of realizing efficient term recognition, difficulty assessment, and automatic annotation generation through deep learning technology. The present invention not only improves the accuracy of term recognition, but also significantly improves processing efficiency and user experience through automated difficulty assessment and annotation generation. The method can identify terms with different meanings in different contexts, thereby improving recognition accuracy and reducing labor costs. The method can provide personalized annotations for different users, thereby improving user experience, ensuring that the language style of the annotations is consistent with the original text, and enhancing the coherence of information transmission.

The invention relates to the technical field of network security, in particular to an eBPF-based access control method and device and electronic equipment, and is used for improving the efficiency and accuracy of IP black and white list access control. The method comprises the following steps: receiving target network feature information of a to-be-detected network data packet; according to a preset access control rule, performing matching query on the target network feature information through an eBPF program to obtain a matching result of the to-be-detected network data packet; the access control rule is predefined by the user space and transmitted to the kernel space; the access control rule comprises at least one of the following rules: a blacklist rule used for defining a first network feature information set forbidden to access, and a white list rule used for defining a second network feature information set allowed to access; the matching result represents a matching relationship between the network feature information and the access control rule; and performing corresponding access control on the to-be-detected network data packet through the eBPF program according to a matching result.

This invention relates to the field of network digital twin technology, specifically to a method for dynamic incremental update of network digital twin topology based on heterogeneous graph neural networks. The method includes the following steps: constructing a corresponding heterogeneous topology base graph based on the physical network; mapping devices and connections in the network to nodes and edges with type identifiers according to a preset node and edge type system; writing a feature field for each node; obtaining the current network digital twin topology graph; performing topology change event perception based on the heterogeneous topology base graph; mapping the collected topology change events to incremental change units; and obtaining the corresponding set of nodes in the affected domain according to the category and scope of the change events. This invention, by grouping by edge type and aggregating neighbor node information, can efficiently update a specific part of the network topology when the topology structure changes, without reconstructing the entire topology, thereby significantly improving the efficiency of network management.

A method and apparatus for performing a sensing procedure in a wireless LAN system are disclosed. A method performed by a first station (STA) in a wireless LAN system comprises the steps of: receiving a first sensing measurement establishment request frame including a first sensing measurement parameter field and a specific measurement establishment identifier (ID) from a second STA, receiving a second sensing measurement establishment request frame including a second sensing measurement parameter field and the specific measurement establishment ID from the second STA; and transmitting a first sensing measurement setup response frame to a second sensing measurement setup request frame to the second STA, where the second sensing measurement setup request frame may include a specific field, the specific field is used for requesting information corresponding to at least one subfield of the first sensing measurement parameter field to be updated to information corresponding to at least one subfield of the second sensing measurement parameter field.

The invention discloses an implementation method of sensor array wave beam response side lobe arbitrary null accurate control. The method comprises the following steps: firstly, constructing an array manifold according to related parameters of a sensor array, and selecting an expected null region; constructing an iterative formula of a beam pattern weighted vector in combination with the idea of accurate control of sensor array beam response; and finally, carrying out iterative solution on the weighted vector of the beam pattern to realize the design of the beam pattern. According to the method, an autocorrelation matrix formed by array manifolds corresponding to an expected null region is introduced into a target function of a CAPN beam former, so that effective minimization of beam output power of the region is realized; meanwhile, in combination with the design thought of sensor array beam response accurate control, beam response control and null region control are organically fused, and the precision of null region control is remarkably improved.

The invention provides a network management test method, network management equipment and a computer readable storage medium, and belongs to the technical field of communication. In order to solve the problem that network management test cases cannot be constructed and updated according to actual conditions of current network users in the prior art, based on the technical concept of testing network management by decoupling a preset initial test case and a test data file, the following technical scheme is adopted: obtaining a preset test model and a preset test unit, the operation log of the user is obtained, the operation log is processed according to the preset test model and the preset test unit, the test data file is obtained, the test data file comprises the test data, and the test data is obtained according to the actual situation of the current network user; and the test data file is associated with the preset initial test case to test the webmaster, so that efficient construction and updating of the test case of the webmaster can be realized, and the effect of testing the webmaster is improved.

The present disclosure relates to a virtual resource updating method, device, equipment and storage medium. The method comprises: when a virtual resource transfer request in an asynchronous message queue meets a preset condition, sending the virtual resource transfer request to a hot message queue; obtaining a first to-be-transferred resource record and a second to-be-transferred resource record corresponding to a target account identifier; the first to-be-transferred resource record is generated based on a target virtual resource; the second to-be-transferred resource record is an unprocessed resource record in a historical period; based on the hot message queue, updating the virtual resource corresponding to the target account identifier according to the first to-be-transferred resource record and the second to-be-transferred resource record. The present disclosure realizes fast and efficient updating of the virtual resource of a hot account, reduces the updating delay of the virtual resource of the hot account, and also reduces the updating delay of the virtual resource of a non-hot account.

One or more embodiments of the present specification provide a data processing method, system, device and storage medium, the method is applied to a computing platform; a user-defined function corresponding to a machine learning task is deployed in the computing platform; wherein the user-defined function contains initialization logic and data processing logic corresponding to the machine learning task; the method comprises: obtaining to-be-processed data corresponding to the machine learning task; calling the initialization logic in the user-defined function to obtain a machine learning model corresponding to the machine learning task stored in a storage platform connected to the computing platform; further calling the data processing logic in the user-defined function to use the machine learning model to process the to-be-processed data, and storing the data processing result to a database connected to the computing platform.

Disclosed are a method and apparatus for listening interval-based transmission or reception for a multilink device (MLD) in a wireless LAN system. According to one embodiment of the present disclosure, a method performed by a station (STA) in a wireless LAN system may comprise the steps of: detecting, by the STA belonging to a non-access point (non-AP) MLD, a change in state of one or more links among a plurality of links; determining an updated MLD listening interval based on the one or more enabled links; and performing transmission or reception with the AP MLD based on the updated MLD listening interval.

The invention discloses a low-altitude networking of intelligence fine-grained group communication method and system based on predicate encryption, and belongs to the technical field of network security communication. The method comprises the four steps of system initialization, entity registration, secure communication and key updating. In a registration stage, a predicate key is split into two parts, a first key component is stored in an unmanned aerial vehicle, and a second key component containing a complex attribute coupling item is stored in a ground base station. And during communication, decryption is realized by utilizing a preset matching relationship between the attribute vector and the predicate vector, and point-to-point communication based on the anonymous attribute vector and group communication based on public attribute filling are supported. During key updating or cross-domain switching, the ground base station uses the stored components to undertake the first type of operation with relatively high calculation complexity, and the unmanned aerial vehicle can synthesize a new key only by executing the second type of operation with relatively low calculation complexity. According to the method, the calculation overhead of the unmanned aerial vehicle is effectively reduced, and the problems of difficulty in fine-grained group division and key management under dynamic networking are solved.

The present invention relates to the field of information security technology, and in particular to a cloud encrypted file key update method based on the SM9 encryption algorithm, comprising: S1, when the encrypted file needs to change the key again, the user terminal device generates a first key based on the public parameters pre-set by the user; the encrypted file is obtained by encrypting the original file with the initial public key; the initial key and the initial public key are pre-obtained based on the public parameters set by the user; S2, the user terminal device generates relevant parameters for re-encrypting the encrypted file based on the public parameters and / or the first information, and sends the relevant parameters to the cloud server; the first information includes the initial key and the encrypted file; S3, the cloud server re-encrypts the encrypted file without decryption through the relevant parameters, generates a new encrypted file, and stores the encrypted file before replacement. The method of the present invention does not need to decrypt first and then encrypt, and realizes seamless key update.