532 results about "Information layer" patented technology

The invention discloses a land investigation data updating method, a land investigation data updating system, a product and a medium, and relates to the field of land investigation. Superposing vector boundary data of the preset survey range on the basic geographic information layer and importing historical land information in the preset survey range to obtain a comprehensive basic information layer; acquiring actual land types, actually measured areas and ownership condition information of various lands in a preset survey range; and comparing the actual land type, the actually measured area and the ownership condition information with the comprehensive basic information layer, identifying land utilization change data, generating a land survey data updating instruction according to the land utilization change data, and sending the land survey data updating instruction and the comprehensive basic information layer to a target client. By implementing the method, the land survey data updating efficiency can be improved.

The invention discloses a conference memory enhancement method and device for a conference tablet and a medium, and relates to the technical field of intelligent conference equipment, and the method comprises the steps: collecting multi-modal data in real time based on a preset data collection technology, and coding the multi-modal data into a space-time event stream according to the time sequence of the multi-modal data; identifying handwritten characters on the conference tablet, and extracting a key tag in a speech in combination with a pre-trained natural language processing model to construct a conference knowledge graph corresponding to the current conference; comparing the conference knowledge graph with a historical conference knowledge graph, determining conflict content, and superposing a virtual information layer on a physical interface of the conference tablet; and querying query association information corresponding to the semantic query request based on the conference knowledge graph and the time-space time stream to determine semantic contradictions, and displaying a historical conference evidence chain of the semantic contradictions based on the virtual information layer.

The invention discloses a medical form data identification method and system based on OCR and MLLM, and the method comprises the steps: receiving original image data, and generating an optimized image sequence through adaptive contrast enhancement, regional importance weighting and multi-resolution optimization; feature extraction is carried out based on the optimized image sequence, a text-space attention map is constructed, and text recognition is realized; performing visual coding and text coding on the optimized image sequence and the text recognition result, and obtaining uniform feature representation through feature alignment; constructing an information level diagram based on unified feature representation, performing relation reasoning, and combining professional knowledge verification to obtain structured feature information; and performing data verification on the structured feature information to obtain normalized data. According to the invention, efficient identification and accurate structuring of the medical form are realized, and the digitization efficiency of the medical data is improved.

The invention discloses a metadata real-time self-adaptive standardization system for multi-field data sharing. The metadata real-time self-adaptive standardization system comprises a metadata information layering module, an intelligent information acquisition module, a real-time self-adaptive standardization module and a visual management module, the metadata information layering module identifies sources of various metadata, and sequentially performs cleaning, classification and layering preprocessing on the metadata; the intelligent information acquisition module uniformly acquires metadata information and converts the acquired data into standardized intermediate representation; the real-time adaptive standardization module is used for realizing rule dynamic adaptation and real-time optimization in a metadata standardization process, is internally provided with a dynamic rule library, is used for storing dynamically generated metadata mapping rules and supports automatic loading, updating and semantic extension of the rules; and the visual management module realizes management, analysis and dynamic adjustment of metadata through a visual interface. The method is high in accuracy of processing unknown data, can adapt to different data scenes in real time, and is high in semantic interoperation capability.

The invention belongs to the technical field of image processing, and discloses a polyp image segmentation method based on a double-branch feature progressive fusion network, and the method comprises the steps: constructing a double-branch network based on feature and boundary information extraction, and carrying out the progressive fusion training; the method mainly comprises a double-branch backbone network based on point convolution visual transformation and a reverse perception information layer, a dislocation fusion module, a dislocation single-layer fusion module, a perception information fusion module and a multistage residual decoding module, a trained optimal model is used for segmenting a polyp image, and a result is evaluated. According to the method, boundary information and hierarchical features are effectively extracted through a double-branch structure, global semantic information is reserved and refined in a progressive fusion mode, the limitation of a traditional algorithm in the polyp boundary feature utilization process is overcome, the boundary difference is adopted in the training process to combine with the loss to optimize the model training process, and the training efficiency is improved. And high-precision recognition and segmentation of the polyp region are realized.

The invention discloses a memory enhanced script generation agent system based on RAG, and belongs to the technical field of artificial intelligence. The pre-learning and intensive training module takes a terminology library, an ambiguity explanation library and a script sample knowledge library as pre-learning blocks, adopts an intensive learning algorithm to train the generation module, and meanwhile, quantifies specific indexes to form a script scoring rule; the self-learning script generation module is used for realizing script generation; the long-term memory and knowledge tree management module is used for extracting, coding and storing key information layer by layer; the script evaluation and feedback closed-loop mechanism is used for grading and scoring the generated script through a preset quantitative evaluation index and feeding back the score to the self-learning script generation module; according to the RAG-based memory enhanced script generation agent system provided by the invention, flexible generation of a final high-quality script can be realized through cooperation of multiple agents, the sense of makeup is reduced, and the usability and usability are improved.

The invention relates to the technical field of multi-modal visual tracking, and discloses a modal sharing information layered unwrapping fusion network for RGB-T target tracking, which comprises a double-flow feature extraction module which adopts a parameter sharing ResNet-50 network and is used for respectively extracting features of an RGB image and a thermal infrared image; the cross-modal attention module is connected with the double-flow feature extraction module and is used for realizing feature interaction enhancement of RGB (Red, Green, Blue) and a thermal mode through a bidirectional attention mechanism; and the layered unwrapping mining module is connected with the cross-modal attention module and is used for mining inter-modal deep complementary information through multi-level residual calculation. By introducing a lightweight attention mechanism and a modal alignment strategy, complementary information between modals is mined layer by layer and dynamic fusion is realized, so that the utilization efficiency of modal residual information is remarkably improved, and the stability and robustness of the system in a complex environment are enhanced.

The invention relates to the technical field of machine tool cutter wear monitoring, and particularly provides an integrated multi-dimensional data monitoring system and a monitoring method.The integrated multi-dimensional data monitoring system comprises a multi-dimensional data acquisition module which can acquire multi-dimensional data of the working state of a cutter in real time; the feature information layer and the intelligent analysis layer comprise a multi-source data fusion module, an abnormal state recognition module, a residual life prediction module and a self-adaptive learning module; the decision execution layer comprises an early warning feedback module, a parameter optimization suggestion module and an intervention control module; the knowledge base system comprises a case base module, a rule base module and a model base module, different physical quantities are collected through the multi-dimensional data collection module, full-dimensional sensing of the state of the cutter is achieved in combination with machining features, material information and environment data, multi-sensor collection, physical model construction, feature information integration and intelligent algorithm analysis are combined, and the machining accuracy of the cutter is improved. And comprehensive, real-time and accurate monitoring of various abnormal states of the machine tool cutter is realized.

The invention provides a polyp segmentation method and device. The method comprises the following steps: extracting global features of a polyp image by using a pyramid vision Transform model PVT, extracting local features of the polyp image by using a convolutional neural network U-Net, and fusing the global features and the local features by using a fusion module; a multi-scale enhancement module is used for processing a fusion result of the fusion module through a space attention mechanism so as to emphasize space information layer by layer, and a decoding module is used for decoding a processing result; and a boundary enhancement module is used to process a fusion result of the fusion module through cavity convolution and an attention mechanism to emphasize boundary information, and a processing result of the boundary enhancement module and a decoding result of the decoding module are fused and then decoded again to obtain a segmentation result of the polyp image. The accuracy and efficiency of polyp segmentation are improved.

The techniques described herein may include solutions for enabling a user equipment (UE) to switch between sub-band full duplex (SBFD) communications and non-SBFD communications within the same time domain of a resource allocation. Discussed herein include solutions for sounding reference signals (SRS), physical uplink (UL) shared channels (PUSCH), and type 1 and type 2 configured grants (CG). Radio resource control (RRC) information, downlink (DL) control information (DCI), layer 1 (L1) indicators, and other types of control information may be used.

The invention provides a real-time multi-scene automatic driving system based on AI multi-sensor fusion. The system can realize multi-scene seamless high-precision real-time automatic driving of the automatic driving vehicle. Adopted key technologies comprise a multi-source heterogeneous fusion automatic driving technology based on AI assistance and an AI enabling enhanced decision execution mechanism. Aiming at the defects of the current automatic driving technology in the aspect of vehicle full situation awareness, the technology improves the multi-source fusion efficiency and accuracy through deep learning, directly maps from multi-sensor original data to a driving decision through an end-to-end learning model to improve the reaction speed, and deeply fuses multiple sensors from an information layer. Meanwhile, aiming at the contradiction between big data processing and real-time computing requirements under the current automatic driving vehicle-machine man-cloud interconnection, the edge computing technology, cloud processing and local computing are used for assistance, so that the power consumption is reduced and the real-time requirements are met. Furthermore, through access integration of an intelligent traffic system, deep combination of traffic big data and AI automatic driving is realized, and relative positioning between vehicles is realized through traffic big data interconnection characteristics. The purposes of responding to complex road conditions in real time and reducing the power consumption of a processing algorithm are achieved through information characteristics such as the vehicle machine, the man-machine and the accurate position between the vehicle machine and the specific marker. In a real-time multi-scene automatic driving system based on AI multi-sensor fusion, the generalization ability of the system is continuously enhanced, and the applicability and transportability of the system are concrete so as to adapt to wider driving scenes.

The invention discloses a method and system for generating a multi-modal report based on a large language model and a FreeMarker, and belongs to the technical field of natural language processing, and the method comprises the following steps: step 1, professional data preprocessing; 2, splicing the preprocessed data and prompt, and performing data analysis and text generation by using a large language model; 3, analyzing a model output result to obtain a corresponding analysis conclusion, data statistics and a reference document, and constructing a plurality of representation forms of the content by means of object storage; step 4, designing a report template in the FreeMarker; and step 5, filling the content generated by the large language model into the FreeMarker template. According to the method, the problems of single report generation form and poor display form and information hierarchy of a traditional large language model can be solved, so that the professional field recognition degree of the generated report is improved, and the requirements of various industries for high-quality and diversified reports are met.

The invention discloses a semantic judicial contract compliance automatic generation and examination system based on a DIKWP artificial consciousness model. The system is constructed according to five layers of data, information, knowledge, wisdom and intention, wherein the data layer integrates multi-source information; the information layer enables terms to be semantized and disambiguated; the knowledge layer performs rule matching and compliance judgment by using a legal knowledge graph; the wisdom layer automatically corrects the risk terms based on a fair principle and performs scene simulation; and the intention layer is embedded into targets of all parties to ensure that the contract is consistent with the compliance intention. The system process covers the whole process from intention analysis, knowledge reasoning to intelligent generation and intention negotiation, and finally a compliance contract and an audit report are output. The system is provided with a multi-language semantic adaptation and intelligent negotiation interface, and convenient access can be realized through an API (Application Program Interface). The system realizes integration of contract generation and review, intention driving and decision interpretability, can effectively reduce compliance cost and dispute risks, and is suitable for multiple scenes such as finance, e-commerce, government purchase and the like.

The invention discloses a multi-tenant permission configuration method, system and device based on an SaaS platform and a medium, and relates to the technical field of data processing, and the method comprises the steps that a multi-tenant information layer is acquired based on the SaaS platform, and a first permission set is acquired, and the first permission set comprises one or more different permission types; defining a weight index, and generating a first identifier and a first weight value; acquiring a newly added tenant based on the SaaS platform, matching role types and completing permission configuration; setting a verification time period, obtaining a second permission set of the newly added tenant in real time every one verification time period, and generating a second weight value corresponding to the first tenant; whether the second weight value is the same as the first weight value or not is judged, if not, tenant permission configuration is withdrawn, and if yes, a second identifier corresponding to the first tenant is generated; and judging whether the second identifier is the same as the first identifier or not, and if not, recovering the permission configuration of the tenant. The method has the advantages of accurate configuration, dynamic verification and high safety.

The invention provides a GNSS deception jamming joint detection system and method, and relates to the technical field of GNSS. GNSS navigation signals are received and processed through a baseband signal processing module, and advanced, instant and lagged related function values of an I path and a Q path are generated; a signal layer index unit calculates a moving variance of a code phase difference based on the correlation function value to generate a signal layer index; the information layer index unit calculates a code carrier difference value based on the pseudo-range, the carrier frequency and the integral carrier phase to generate an information layer index; and the spoofing detection module performs data fusion on the signal layer index and the information layer index to generate a joint detection index, and judges a spoofing state through a threshold value. The distortion of an IQ code correlation value integral signal is captured through a signal layer, and on the other hand, the inconsistency of a deception signal carrier, a pseudo-range relative measurement value and a real signal is captured through an information layer, so that the technical effect of rapid complementary detection of the signal layer and the information layer on deception interference is realized.

The invention discloses a hierarchical acquisition and analysis method and system for attribute information of a cultural relic building, and belongs to the field of electronic data analysis. According to the method, the acquired historical stored data of the cultural relic building is imported into a danger assessment strategy for cultural relic building danger assessment, maintenance judgment is performed, quantitative assessment is performed based on the damage condition of the cultural relic building, and whether the building needs to be maintained is judged according to a quantitative assessment result, so that the safety of the cultural relic building is improved; meanwhile, structure maintenance analysis is carried out according to structure composition importance and structure composition dangerousness before maintenance, and then accurate judgment of maintenance steps is carried out.

The invention discloses an intelligent auxiliary acquisition method and system for manufacturing equipment design requirements, and belongs to the technical field of industrial design. The method comprises the following steps: establishing a hierarchical relationship of manufacturing equipment design requirements, and further constructing a manufacturing equipment historical design requirement hierarchical relationship database; constructing a design demand intelligent auxiliary acquisition model, and training the design demand intelligent auxiliary acquisition model based on the manufacturing equipment historical design demand hierarchical relationship database; original design demand information of the new manufacturing equipment is collected, the design demand intelligent auxiliary acquisition model is utilized to acquire design demand information, and the design demand information comprises a design demand information hierarchical relationship and labeled abnormal demands; and modifying, confirming and outputting the calculated design demand information. According to the intelligent auxiliary acquisition method and system for the manufacturing equipment design demand, the accuracy and integrity of equipment design demand acquisition are improved, the acquisition efficiency is greatly improved, and the acquisition cost is reduced.

Disclosed are example embodiments of systems, methods, and devices for enhancing reciprocity-based MU-MIMO performance in a wireless communication system. To incorporate devices with many antenna elements, extend the communication range, and reduce response and adaptation times single and multiple step dimensionality reduction schemes (which may also incorporate interference rejection) are constructed and applied at the UE antenna array. The UE Effective Antennas can be time-variable as well as their number be different from the information layer's number. The schemes parts can have different frequency-time supports and update rates. Methods to deliver from UEs the reduced dimension physical channel matrices to the BS to facilitate the MU-MIMO DL BS precoder construction are disclosed (including different D2A and A2D number cases). BS may optionally facilitate EAs selection. For equal downlink and uplink EAs parts, DL precoder construction may be further assisted via channel reconstruction from decoded uplink data (escaping channel ageing).

The invention relates to the technical field of ink jet control, and discloses an intelligent ink jet control system and method, a robot and a storage medium. The method comprises the following steps: firstly, acquiring surface contour data and color information of an object to be jetted through a laser ranging device, and constructing an object surface feature vector; a target ink jet area is determined through area spray adaptability evaluation; then, semantic information of ink jet content is obtained, semantic element weights are calculated, and ink jet parameter constraints including an ink droplet size threshold value, an information level presentation rule and the like are generated in combination with a target area range; generating an intelligent ink-jet scheme according to the constraint, and controlling an ink-jet device to form a target pattern; and finally, a moving path of the moving mechanical arm is generated based on a cubic spline interpolation algorithm, and the target pattern acts on the target area. The method can adapt to complex surface forms and various materials, the ink jet process is accurately controlled, patterns are accurately presented and stably attached, and the ink jet effect and the information transmission effectiveness are improved.

Payment cards with activated information displays are described. In one embodiment, a payment card may include: a first layer; a second layer comprising an elastic material; an actuator; and an information layer between the first layer and the second layer, comprising: a plurality of information voids; and a microfluidic channel that communicates the plurality of information voids with the actuator. A fluid may be provided in the microfluidic channel such that when the actuator is depressed, fluid flows into the information voids making the information voids visible through the second layer, and when the actuator is released, the fluid flows out of the information voids making the information voids substantially invisible through the second layer.

The invention provides a communication method, the communication method is applied to a terminal device, and the communication method comprises the following steps: receiving measurement configuration information from a network device, the measurement configuration information comprising an event triggering condition; the physical PHY layer measures a reference signal to be measured, determines that an event triggering condition is satisfied and sends first indication information to a medium access control (MAC) layer; and the MAC layer sends a measurement result to the network equipment through MAC layer signaling according to the first indication information. In the application, the PHY layer can measure the reference signal to be measured to determine the measurement result; the MAC layer can send the measurement result through MAC layer signaling (such as MAC CE), so that the network equipment can perform mobility management such as scheduling strategy updating or cell switching, beam switching and the like based on the measurement result. According to the method, the uplink resource occupation of the terminal equipment can be reduced while the measurement result is reported quickly and timely.

The invention relates to the field of packaging materials, in particular to a positioning environment-friendly laser transfer film which is composed of a base film layer, a laser information layer and an aluminum plating layer. The laser information layer is prepared from the following raw materials in parts by weight: 60 to 70 parts of waterborne polyurethane acrylic resin emulsion, 10 to 15 parts of photo-initiation waterborne alkyd resin, 8 to 12 parts of dipentaerythritol hexaacrylate, 0.1 to 1 part of polyether modified polysiloxane surfactant, 1 to 5 parts of aminated nano titanium dioxide and 1 to 3 parts of functional additive. The water-based laser coating is used for replacing a solvent type coating to prepare the laser information layer, the problems that the solvent type coating is poor in environmental protection performance and poor in safety are effectively solved, and green, efficient and safe production of the vacuum aluminum plating packaging material is achieved.

The invention provides a data processing method and device of a storage device, a medium and computer equipment. The data processing method comprises the following steps: analyzing a reading request initiated by a user, and obtaining a logical addresses to be read; determining c L2P mapping tables associated with the a logical addresses according to the range of the a logical addresses, wherein c is a positive integer greater than or equal to 1; backing up an original mapping relation of the c L2P mapping tables; b latest mapping relations of a temporary information layer are updated to the c L2P mapping tables, and the original mapping relations of the c L2P mapping tables are covered; querying the updated c L2P mapping tables according to the reading request, obtaining physical addresses corresponding to the a logical addresses, and reading data; and after the reading is completed, restoring the backed-up original mapping relation to the c L2P mapping tables. Through the mapping management process of the scheme, redundancy check can be avoided, accurate locking of an updating range is realized, the check times are greatly reduced, physical limitation of bandwidth is released, and delay is greatly reduced.

The invention discloses an advertisement information flow management method and platform applied to multivariate visual design, and belongs to the technical field of advertisement design, and the method specifically comprises the steps: dividing a screen interface into dynamic grid regions, and carrying out the comprehensive calculation based on user interaction behaviors and content semantic features, mapping the dynamic grid region into a semantic gravitational field representing user attention distribution; generating an initial advertisement container in a low-gravitational area at the edge of the screen, driving the container to migrate to a high-gravitational area according to the intensity gradient distribution of the semantic gravitational field, performing path optimization in the migration process, and dynamically adjusting the form of the container according to the visual density of a matched target area; dynamically adjusting the parameters of the advertisement container according to the semantic features of the native content of the target area and the real-time interaction behavior of the user; the cognitive load of the user is evaluated in real time according to the interaction behavior of the user on the surface of the advertisement container, information level folding is triggered when cognitive overload is detected, and secondary information or all information of the advertisement is dynamically hidden.

The invention belongs to the technical field of electric power information physical system security, and discloses an urban power grid information physical system security situation early warning method based on cross-space risk propagation. A power grid physical layer and information layer coupling model and a cellular space false data injection attack model are constructed, and a fault cross-space propagation mechanism is simulated through an event-driven cellular automaton theory; an integrated kernel extreme learning machine model is adopted to predict the operation state of the power grid, multi-dimensional data fusion is realized through a radial basis kernel function, and an integrated structure is adopted to fuse a plurality of model prediction results so as to improve the model prediction precision; and establishing an early warning system including voltage out-of-limit, line overload and load loss indexes, and dynamically distributing weights and dividing early warning grades in combination with an entropy weight method. According to the method, the problem of low precision of urban power grid security situation early warning under multivariate disturbance is solved, and the accuracy and robustness of security situation early warning can be effectively improved.

The invention relates to the technical field of robot navigation, and particularly provides a multi-layer map construction method for substation inspection navigation, which comprises the following steps: generating a point cloud map according to three-dimensional point cloud data of a substation, and marking passable areas, obstacle positions and road topological structures to obtain a geometric information layer; identifying the type of the equipment according to the image data of the equipment of the transformer substation, and generating a priority label of the equipment based on the type of the equipment to obtain an equipment information layer; according to the topographic relief degree matrix of the transformer substation, dividing the transformer substation environment into a flat area, a non-flat area and an obstacle area to obtain a topographic information layer; and carrying out space alignment on the geometric information layer, the equipment information layer and the topographic information layer to obtain a multi-layer map with a unified coordinate system. The problems that in the prior art, a transformer substation inspection map is single in information dimension, poor in reliability and not beneficial to inspection are solved.

The invention discloses infrared night vision AR (Augmented Reality) intelligent glasses based on multispectral fusion, and relates to the technical field of infrared intelligent application. High-precision scene perception in a low-light / light-free environment is realized by fusing dual-channel data of low-light imaging and infrared thermal imaging and combining cross-modal feature matching and dynamic pose compensation; an environment detail structure is restored by a low-light image enhancement technology, thermal feature targets such as organisms are accurately recognized through thermal imaging target segmentation, and a three-dimensional environment model with space geometric information and target attributes is constructed through heterogeneous feature fusion; and dynamically adjusting the display transparency of the key target in the AR view field through a virtual information layer adaptive mixing mechanism driven by a hot target attribute, and finally outputting a virtual-real fused enhanced view, thereby breaking through the illumination limitation of the traditional AR glasses, and improving the visual effect of the AR glasses. And immersive augmented reality experience with panoramic detail perception and hot target accurate positioning is provided for the user in a dark environment.

The invention provides a transformer substation maintenance implementation full-process intelligent management and control system and method based on a cloud platform, and belongs to the technical field of intelligent power grid operation and maintenance. The system comprises an acquisition layer, a data layer, a management layer, an information layer and a presentation layer. The acquisition layer comprises a scheme input module, an image acquisition module, a positioning module and an electromagnetic fingerprint acquisition module, and is used for constructing a digital twin maintenance template and acquiring multi-source data; the data layer comprises an intelligent image auditing module, a multi-source positioning compensation module and an electromagnetic fingerprint matching module, and is used for realizing fusion analysis and error compensation of multi-source data; the management layer comprises a dynamic authority control module and a positioning state decision module, and is used for distributing equipment operation authority based on biological characteristics and electromagnetic safety parameters; the information layer comprises a dynamic path planning module and an evaluation alarm module, and is used for generating an optimal operation path and triggering multi-stage safety alarm; and the presentation layer realizes visual interaction and alarm prompt through a terminal interface.

The invention relates to the technical field of electric heating comprehensive energy information physical systems, and discloses a fault response and recovery method for an electric heating comprehensive energy information physical system. According to the method, the multi-coupling relation of electric power, thermal power and information systems is fully considered, the influence of an information layer on a physical layer in a fault response stage is modeled, and fault propagation and response characteristic simulation in a multi-system deep coupling scene is realized. The provided toughness recovery model is also based on an ETIECPS framework, the influence of an information layer in a recovery stage on a physical layer is comprehensively considered, and a fault recovery process of quick response and optimization is realized through a collaborative recovery mechanism of an information physical system, so that the recovery efficiency and the overall stability of the system are improved in a multi-attack situation.

The embodiment of the invention discloses a security authentication method and device, a vehicle, equipment and a storage medium, the method is applied to a security authentication module of the vehicle, the vehicle further comprises a controller and a debugging port circuit, and the method comprises the steps that authentication data sent by a debugging terminal is acquired, and the authentication data comprises first identification information of the debugging terminal; performing verification processing on the authentication data, the verification processing comprising comparing the first identification information with pre-stored credit granting data to determine whether the authentication data is successfully verified, the credit granting data comprising a plurality of pieces of credit granting identification information; and under the condition that the authentication data is successfully verified, sending verification data to the controller, so that the controller configures the IO configuration information of the debugging port circuit as the target IO configuration information. The unverified debugging terminal can be limited from accessing the controller data on the IO configuration information level, verification and positioning are carried out based on the first identification information of the debugging terminal, and the safety and traceability of the data are improved.