67 results about "Information domain" patented technology

The invention discloses a power grid frequency balance intelligent control system based on a distributed architecture, relates to the technical field of power grid control, and is used for solving the problems that the existing WLS / UKF and other methods are generally assumed to be good in synchronization, are insensitive to heteroscedasticity time delay and missing measurement, and are difficult to ensure robustness under real communication and equipment conditions. Through a through link, under the real clock misalignment, time delay jitter and packet loss conditions, measurement of a unified time axis and quality quantification are realized, and frequency estimation bias and uncertain transmission are significantly reduced. Reconstruction, filtering and triggering are penetrated with the same confidence degree, and abnormal measurement suppression and effective information utilization are improved; the fusion efficiency and timeliness of asynchronous arrival data are improved by utilizing graph prior and information domain incremental updating; and regional measurement abnormity and real power imbalance are discriminated through double-model causality, and error event reporting is reduced.

The invention discloses an image generation and understanding unification method and system based on joint diffusion modeling, and relates to the technical field of image generation and understanding. According to the method, image generation and understanding tasks are unified through joint diffusion modeling, models do not need to be designed for the generation and understanding tasks respectively, and the efficiency is improved. Through improved DINOv2, Segmenter and DETR models, classification feature class cluster polymerizability, boundary detail segmentation and small target feature expression detection are enhanced. A random role allocation mechanism and a mask full attention mechanism flexibly process multi-domain information, domain invariant position coding assists cross-domain alignment, and the modeling precision is improved. Through optimization training, the model supports joint generation, controllable generation and image perception tasks at the same time, the performance is superior to that of an existing unified model, and even exceeds that of a proprietary model in tasks such as edge detection.

The invention discloses an electromechanical system heterogeneous domain generalization fault diagnosis method and device based on digital twinning, and belongs to the technical field of electric data processing. The method comprises the following steps: constructing a digital twin model to simulate entity characteristics of an electromechanical system, generating virtual fault data and structured interconnection knowledge distributed across working conditions through the digital twin model, and reconstructing a K-class information domain according to the virtual fault data and entity data of the electromechanical system; the information source is divided into a source domain and a target domain, the source domain represents visible operation conditions, and the target domain represents invisible operation conditions; performing structured interconnection knowledge embedding on the source domains to obtain a knowledge embedding data set of the K-class source domains; and constructing a heterogeneous domain generalization network, and training the heterogeneous domain generalization network by utilizing the knowledge embedding data set of the K-type source domain and the K-type target domain data set to obtain a fault diagnosis model so as to perform fault diagnosis on invisible operation condition information to be diagnosed. According to the invention, fault diagnosis can be carried out on the electromechanical system under the limitation of invisible operation conditions.

The invention discloses a configuration determination method, a capability reporting method and a period configuration method, and relates to the field of communication. The method comprises: receiving a first DCI, the first DCI comprising a first information domain and a second information domain, the first information domain and the second information domain being used for determining a first period configuration; wherein the UE is configured with N sets of period configurations, the N sets of period configurations comprise the first period configuration, and N is an integer greater than 1. And the first period configuration is determined through the first information domain and the second information domain of the first DCI. Compared with a method that only one information domain is used for determining the first period configuration, the method has the advantages that due to the fact that the two information domains comprise more bits, determination of more sets of period configuration can be accurately and efficiently achieved, and higher flexibility is achieved when the period configuration is determined.

Existing multi-agent system are employed collaboratively, where each agent specialized in extracting entities, relations, or events from documents which is a more generalized collaborative framework without specific customizations. The disclosed method presents a collaborative multi-agent knowledge graph Retrieval-Augmented Generation (RAG) framework using a plurality of collaborative multi-agent LLMs for extracting information from a plurality of multimodal documents and constructing the unified knowledge graph to facilitate accurate and efficient query-based retrieval. A query generator agent generates a plurality of queries that aim to uncover all possible information present in the plurality of multimodal documents. A domain model is generated by a domain model generator agent based on the plurality of queries. The domain model populator agent populates the domain model with data extracted from the plurality of multimodal documents. A unified knowledge graph is constructed from ta plurality of populated domain models and organizes the extracted information for accurate retrieval.

The invention discloses a PPDU receiving method and device, a PPDU sending method and device, equipment and a storage medium, and belongs to the field of wireless communication. The method is executed by an electronic device, and the method comprises: receiving all or part of information domains of a first PPDU, the all or part of information domains comprising a first information domain, and the first information domain being used for indicating the type of a target device receiving the first PPDU. Optionally, the target device type comprises a WUR device and an AMP device.

The embodiments of the present disclosure relate to the technical field of communications, and provide a communication method and apparatus, and a device and a storage medium, which can be applied to an AP MLD. The method comprises: determining a first message frame, wherein the first message frame comprises a first information domain, and the first information domain is used for respectively indicating that an operation parameter update request corresponding to each first communication connection is approved or rejected, and is used for indicating the number of first communication connections, or, the first message frame comprises a second information domain and a third information domain, the second information domain is used for respectively indicating that an operation parameter update request corresponding to each first communication connection is approved or rejected, and the third information domain is used for indicating the number of first communication connections, each first communication connection being a communication connection for a non-access point multi-link device (Non-AP MLD) to request that a multi-link operation parameter update is performed; and sending the first message frame. The embodiments of the present disclosure can provide a method for an AP MLD to respectively respond to an operation parameter update request corresponding to one or more communication connections.

This invention relates to the field of smart city lighting facility operation and maintenance, and discloses a method and system for assessing the health status and predicting faults in street light networks. The method includes the following steps: First, energy domain and information domain data of street light nodes are collected. A dynamic topology map with isomorphic information and energy domains is constructed based on electrical waveform correlation and channel characteristic similarity. Node features are reconstructed using a graph attention network, and passive monitoring residuals are calculated. Based on the dual-threshold judgment results of the residuals, when a node falls into a suspected grayscale range, an active micro-perturbation excitation mechanism is automatically triggered, breaking the steady state by issuing a fine-tuning light command. Subsequently, the degree of anomaly in the circuit physical layer is quantified by comparing the integral deviation between the actual physical response and the ideal response based on the transfer function. Finally, the passive residuals and active deviations are dynamically fused to output a full lifecycle health index. This invention solves the problem of difficulty in identifying early, weak faults under complex noise conditions, improving the accuracy of predictive maintenance of street light networks.

This invention provides a self-inspection control method, device, and server for vehicle production and maintenance, relating to the technical field of the automotive industry. The method includes: when the power supply to an ordered vehicle is detected to be on, connecting an information domain controller to the vehicle's manufacturing execution system (MES) based on a key sent by a vehicle networking service platform; sending vehicle information provided by the MES to the information domain controller, enabling the information domain controller to perform a self-inspection process to prevent errors in the vehicle's electronic control system; after the self-inspection of the vehicle's electronic control system passes, switching the information domain controller to production mode and using an electronic inspection program and a set of external cameras to perform a production self-inspection process on the vehicle's electronic control components and external equipment, so that the ordered vehicle can be delivered after the vehicle's production self-inspection passes. This invention can significantly improve the accuracy and efficiency of fault detection during vehicle production and maintenance.

The invention discloses a remote sensing image unsupervised domain adaptive semantic segmentation method and system fusing frequency domain and spatial domain features, and aims to solve the problems of insufficient cross-domain feature alignment and limited segmentation precision caused by video domain information negligence and single domain discriminator scale in the prior art. According to the method, firstly, a source domain data set and a target domain data set are obtained, and then an unsupervised domain self-adaptive framework is built. A generator of the framework extracts multi-scale features through a visual backbone network, frequency domain and spatial domain information is compensated through a bidirectional recursion fusion module, then the features are processed by a content perception decoder containing four decoding stages, and each decoding stage is configured with a weight fusion module and an efficient content perception module to optimize feature representation; the discriminator distinguishes the attribution of the feature domain through four cascade stages, and each cascade stage is matched with a down-sampling unit and an efficient content awareness module to strengthen domain attribute feature extraction. Inputting a source domain training set and a target domain training set into a framework for training, back-propagating optimization parameters by using a multi-joint loss function, and storing an optimal model with the highest average intersection-union ratio in the training process; and finally, processing a target domain remote sensing image by using the model to realize semantic segmentation. According to the method, the feature distribution difference between the source domain and the target domain is reduced through deep fusion of the frequency domain and spatial domain features, and the problem of low segmentation precision caused by inter-domain difference of an existing unsupervised domain adaptive semantic segmentation method is effectively solved.

The embodiment of the invention provides a method and device for opening UE domain information of an application function. A method performed by a first network node in a communication network includes receiving a first request from a second network node, where the first request includes a user equipment identifier (UE ID) indicating a user equipment (UE), determining UE domain information according to the received UE ID, and sending a first response to the second network node. The first response includes the determined UE domain information. The UE domain information includes a core network type and a subscription domain.

The invention discloses a cross-domain system reliability modeling and evaluation method based on an OODA ring theory, which is oriented to a cross-domain equipment system formed by information domain and physical domain collaboration, constructs an information domain-physical domain collaboration network model, and establishes a mapping relation model among different types of nodes. On the basis, the number of OODA rings capable of being formed in the system is counted, and the operation capacity of the cross-domain system is quantitatively represented. Furthermore, the mapping relation model is dynamically updated under the conditions of node faults, random strike and the combined action of the node faults and the random strike, and the change characteristics of the system reliability under different failure conditions are evaluated. And meanwhile, under the condition that a failure is caused by a node fault or random strike, a dynamic reconstruction mechanism of an information domain and a physical domain is introduced, the system structure is dynamically reconstructed, and the system reliability under the dynamic reconstruction mechanism is evaluated based on the change of the number of OODA rings before and after reconstruction.

This application provides a method and apparatus, a device, and a storage medium for data processing and LLM training. The method includes: extracting raw data representing world knowledge from an information domain comprising websites, the raw data comprising a set of data elements, and each data element in the set of data elements comprising at least one of: a text portion; an image portion; an audio portion; or a video portion; using the each data element in the set of data elements as input, instructing a first LLM to infer a seed persona corresponding to the each data element; and storing the seed persona into a persona set comprising at least one persona.

The present invention discloses a jitter measurement method combining time domain, frequency domain and statistical domain in a digital oscilloscope. First, the digital oscilloscope collects a long series of continuous signals and forwards the sampled data to a host computer. Then, each jump moment of the signal to be measured is found. Then, a software phase-locked loop is used to recover the reference edge moment according to the jump moment of the signal to be measured. Then, the jump moment of the signal to be measured is subtracted from the reference jump moment to obtain a set of time interval error sequences. Finally, based on this sequence, the jitter is analyzed and processed from multiple information domains to obtain the magnitude of the overall jitter, deterministic jitter, random jitter, periodic jitter, data correlation jitter, intersymbol interference and duty cycle distortion.

The invention provides an automatic relay configuration method based on a scoring mechanism and capable of being customized in multiple dimensions. The method comprises the following steps: classifying all nodes under a gateway according to information domains; the node is reset, the gateway resets the node role, and the reset role is a common node; searching nodes in a node gateway search area, collecting the nodes into an upper computer list, and simultaneously collecting the signal-to-noise ratio and the received signal strength indication of the nodes by an instruction; configuring a node role; a pre-relay scoring mechanism is established; and calculating scores. The problem of network coverage blind area or resource redundancy caused by the fact that a traditional PLC depends on fixed distance / experience to deploy a repeater is solved, a fixed routing binding mode is broken through, real-time path updating in dynamic environments such as electromagnetic interference and impedance mismatch is achieved, a flexible framework capable of configuring scoring weights and the number of relays is provided, and the real-time route updating is achieved. And different transformer area scales and time delay requirements are adapted, and the manual maintenance cost is reduced.

The invention discloses a multi-domain parameter adaptive adjustment method for a digital oscilloscope matched with signal frequency characteristics, and the method comprises the steps: firstly sampling an unknown input signal through a high-speed data collection system, obtaining a digital parallel sampling signal, and transmitting the digital parallel sampling signal to a multi-information-domain data processing module in an FPGA (Field Programmable Gate Array); in the multi-information-domain data processing module, time-frequency graph data acquisition of unknown signals is completed based on accurate control, fast Fourier transform and data delay feedback of time-domain data required by each frame of frequency spectrum, and the time-frequency graph data is transmitted to an industrial personal computer through a high-speed interface after being acquired. The method comprises the following steps: performing data analysis, obtaining a maximum value of spectrum energy and calculating an effective frequency index value to obtain a maximum effective frequency index value and a minimum effective frequency index value, then obtaining a multi-domain analysis parameter center frequency and an analysis bandwidth through calculation, and setting, feeding back and adjusting a multi-domain analysis processing module on a user interface of a digital oscilloscope.

The invention provides a zero sample cross-domain data generation method and system based on data inversion, and aims to solve the problem of lack of target domain data. The method comprises the following steps: converting a domain text of a target domain into a domain text feature vector through a domain information retrieval step; retrieving in a source domain information base according to the domain text feature vector, calculating the similarity between the domain text feature vector and the existing domain information in the source domain information base, and screening out the closest domain information; in the domain information inversion step, DDPM inversion is carried out on the retrieved domain information to obtain initial noise of a target domain; in the data generation step, initial noise obtained through inversion serves as initial denoising data, conditional denoising is carried out on the initial denoising data in combination with conditional information, and finally cross-domain data meeting the target domain requirement is generated. According to the method, data generation in a new scene becomes possible and only depends on the target domain text description information, so that the quality of the generated data is improved.

The invention discloses an Internet of Things terminal network security early warning platform based on artificial intelligence, which performs cross-domain feature alignment on information domain and physical domain data analyzed at a bottom layer, and innovatively converts the information domain and physical domain data into a time sequence texture grey-scale map, thereby utilizing the characteristics of a convolutional neural network on a spatial receptive field, and improving the security of the Internet of Things terminal network security early warning platform. And deeply extracting potential semantic association and time sequence evolution laws among the heterogeneous data streams. Finally, through full-connection classification and real-time estimation of threat probability, a full-link early warning closed loop from multi-dimensional feature fusion, deep feature mining to defense instruction automatic generation is realized, and the security defense efficiency and response speed of the industrial-grade Internet of Things in the face of advanced persistent threats are greatly improved.

This application discloses an unsupervised multi-source information domain adaptation method, device, medium, and product for rotating machinery migration diagnosis, relating to the field of mechanical fault diagnosis. The method comprises: acquiring multi-source information; fusing and compressing the multi-source information into a single fused sample; constructing a domain-adaptive self-attention network transfer learning model enhanced by information fusion; and inputting the single fused sample into the domain-adaptive self-attention network transfer learning model to obtain a migration diagnosis result for the rotating machinery. This application can address the problems of negative transfer, information loss, and high computational burden that exist in existing multi-source information domain adaptation methods.

A communication method, a first device and a second device are provided. The method includes that a first device transmits first information to a second device. The first information includes value field information or information field information corresponding to collected data information. The first information is associated with second information including at least one of: data type identifier, format / length indication information corresponding to the value field information or the information field information; first indication information for indicating whether current type of data is last single-type data in a data sample in the collected data information; second indication information for indicating whether current single-type data contained in the data sample in the collected data information appears; quantity indication information of data samples in the collected data information; indication information of whether a current data sample is a last data sample in the collected data information; or data collection task identifier.

The invention relates to a communication method and equipment. The method comprises: a first device sending first information, the first information comprising a first model identifier, the first model identifier comprising a first information domain and / or a second information domain; in the embodiment of the invention, the model identifier can be used more flexibly through the first information domain and / or the second information domain.

The application discloses an automatic wharf network attack detection method based on an attack chain and a three-domain white baseline, and relates to the technical field of network security. The method comprises the following steps: constructing a cross-domain asset-business association graph; generating an attack chain candidate set based on a vulnerability exploitation link and extracting black features of information domains, control domains and physical domains through attack simulation; establishing a three-domain white baseline model and cross-domain consistency rules; performing black-white fusion detection on real-time data to obtain a comprehensive abnormal score; distinguishing attack anomalies from functional failures through cross-domain causal order and abnormal propagation range; realizing abnormal device positioning based on graph propagation inversion; and generating a collaborative response action according to a risk level, a device security level and a business stage. The application can improve the detection precision of high-concealment attacks in the complex network scene of an automated container wharf, reduce false positives and false negatives, realize rapid positioning of abnormal devices and a collaborative defense closed loop.

The invention discloses a system updating method and system for a portable single-phase electric energy meter on-site verification device, and relates to the technical field of electric power metering equipment, and the method comprises the steps: detecting the use state of a USB interface of the portable single-phase electric energy meter on-site verification device, judging whether the use state accords with a system updating condition or not according to the use state, and if yes, carrying out system updating; accessing a USB interface through a USB flash disk and importing a system upgrade package; extracting a head information domain in the system upgrade package and determining a system upgrade hardware configuration list and a system resource demand; performing system upgrading compatibility self-checking according to the system upgrading hardware configuration list and system resource requirements; and generating a self-adaptive upgrading decision according to a self-checking result, and carrying out intelligent system upgrading processing on the portable single-phase electric energy meter field calibration device according to the self-adaptive upgrading decision. Effective upgrading self-checking work of the portable single-phase electric energy meter on-site verification device can be achieved, and therefore the reliability and stability of system upgrading and the compatibility between the system upgrading and hardware are guaranteed.

The embodiment of the invention provides a delay state reporting method, communication equipment, a communication system, a storage medium and a program product. The method is executed by a terminal, and the method comprises the steps that first information is determined, the first information is used for indicating a statistical rule of a DSR, and the statistical rule is used for the terminal to determine the data volume reported by a plurality of information domains of the DSR; wherein for a logical channel group (LCG), the DSR comprises a plurality of information domains, and time intervals associated with different information domains are different. According to the technical scheme provided by the embodiment of the invention, the terminal can perform statistics according to different rules when performing statistics on the data volume reported by each information domain of the DSR, so that the statistical mode of the data volume reported by the DSR is more flexible.

The invention belongs to the technical field of train communication network security, and relates to an Ethernet intrusion detection method and system, and the method comprises the steps: respectively obtaining physical domain data and information domain data from a train communication network, carrying out the normalization processing of a primary side network flow through employing a Z value standardization method, and obtaining a time domain feature; the basic flow, the communication protocol, the connection behavior and the like are converted into frequency domain signals through short-time Fourier transform, and frequency domain features are obtained; calculating the weight of each time domain feature and the weight of each frequency domain feature by using a grey correlation analysis method; respectively modeling by adopting a structured state space sequence model and a convolutional neural network to obtain two abstract feature representations; fusing the two abstract feature representations, and weighting the weight of each feature through an attention mechanism to obtain a fused feature representation; and analyzing the two features by using a target intrusion detection model, and identifying different intrusion attack events. According to the invention, the integrity of intrusion detection and the accuracy of detection are improved.

A DRA-based dynamic link management method and apparatus, a device, a medium, and a product. The method is executed by a DRA. The method comprises: receiving a first network element registration request, wherein registration information of a first network element comprises at least one of IP information, domain name information, load information, a network element type, an interface attribute, and a link information requirement; establishing a Diameter interface link on the basis of the registration information of the first network element, and storing the corresponding registration information of the first network element in a link library; and on the basis of the registration information of the first network element, making dynamic selection and forwarding a service request to a second network element. The present application can implement DRA-based intelligent dynamic link management, thereby improving link management efficiency.

The embodiment of the invention provides a domain task processing method, a task processing method in the field of biological information, computing equipment, a computer readable storage medium and a computer program product. The domain task processing method comprises the steps of obtaining task information of a target task in a target domain; based on the task information, a domain task unit related to the target task is retrieved from a task library corresponding to the target domain, and the task library is constructed based on at least one sample task of the target domain and a sample task unit called for executing the sample task; based on the unit information of the domain task unit, generating call chain information conforming to target task execution logic by using a target generation model; and based on the call chain information, calling the domain task unit to execute the target task to obtain a task execution result. According to the method, the comprehensive task library corresponding to the target field is automatically constructed, and then the proper task unit is automatically selected to execute the task, so that the field task processing efficiency and accuracy are improved.

The application discloses an automatic wharf network attack detection method based on an attack chain and a three-domain white baseline, and relates to the technical field of network security. The method comprises the following steps: constructing a cross-domain asset-business association graph; generating an attack chain candidate set based on a vulnerability exploitation link and extracting black features of information domains, control domains and physical domains through attack simulation; establishing a three-domain white baseline model and cross-domain consistency rules; performing black-white fusion detection on real-time data to obtain a comprehensive abnormal score; distinguishing attack anomalies from functional failures through cross-domain causal order and abnormal propagation range; realizing abnormal device positioning based on graph propagation inversion; and generating a collaborative response action according to a risk level, a device security level and a business stage. The application can improve the detection precision of high-concealment attacks in the complex network scene of an automated container wharf, reduce false positives and false negatives, realize rapid positioning of abnormal devices and a collaborative defense closed loop.

The present application relates to the technical field of vehicle-mounted electronic control unit software development and testing, and discloses a kind of quick offline calibration method and system of vehicle-mounted s19 file, the method is first obtained and related file information is supplemented variable complete information and forms variable set;Variable set is sorted and preprocessed using the monotone increasing characteristics of S19 file address;First variable is located in the Record rewrite position of S19 file using dichotomy, and Merge table is established;Subsequent variables are positioned and updated Merge table according to the corresponding dichotomy boundary mode selected according to the Block index;For CURVE, AXIS, VAL_BLK and MAP type calibration quantity respectively, complete information domain rewriting according to address continuous rule or matrix to one-dimensional sequence rule;Loop processing all variables to obtain the Merge table of Record position monotone increasing, and then merge the rewriting information to the original S19 file by dichotomy, and output the calibration file after updating checksum.The present application reduces address matching error, significantly improves the efficiency and stability of vehicle-mounted S19 file offline calibration.

Provided in the present application are a wireless communication method, device, station and access point, the method comprising: a station receiving a trigger frame sent by an access point, the trigger frame comprising a distributed bandwidth (DBW) indication, the DBW indication being used for indicating a DBW used for transmitting a physical layer protocol data unit (PPDU) based on a distributed tone resource unit (DRU), and the DBW indication being used for indicating a DBW used for transmitting the PPDU based on the DRU; the DBW indication is indicated by a target information domain in the trigger frame; sending the PPDU according to the trigger frame; wherein the target information domain comprises a public information domain and a special user information domain; or the target information domain comprises a public information domain and a user information domain; or the target information domain comprises a special user information domain and a user information domain; or the target information domain comprises a user information domain.