1470 results about "Device Identifiers" patented technology

The invention is suitable for the technical field of data analysis, and provides a transformer substation fault handling method combining causal reasoning knowledge graph modeling, comprising: acquiring multi-source heterogeneous data and performing data cleaning processing to obtain a space-time alignment data set, the space-time alignment data set comprising one or more quaternary data sets, the quaternary data set comprises a device identifier, a timestamp, a feature vector and an event tag; causal modeling processing is carried out on the time-space alignment data set to obtain a causal graph, and the causal graph comprises node information of nodes and relation information between the nodes; constructing a space-time diagram neural network model according to the causal diagram and the equipment connection relation diagram, wherein the space-time diagram neural network model realizes dynamic evolution of the graph based on an incremental updating strategy; and outputting fault root cause positioning information according to the time-space diagram neural network model.

The invention discloses a network space security risk intelligent identification method and system. The method comprises the following steps: deploying traffic collection equipment at key network nodes and boundary equipment, and collecting network traffic data and log data; extracting network behavior features and log key fields, and constructing a data feature model; performing vectorization processing based on the data feature model, performing traffic classification by using a deep neural network, and identifying a device type and a device identifier; carrying out noise reduction, redundant information removal and standardization processing on flow data in the data feature model to generate standardized data and storing the standardized data in a vector database; entity extraction is carried out on the standardized data, a knowledge graph is constructed, data distribution is analyzed through a Gaussian mixture model, the probability of abnormal behaviors is calculated in combination with historical data, and attack risks are calculated based on Bayesian decision; and generating an alarm according to the calculated attack risk, tracing the historical record of the attack risk in the knowledge graph, sending a blocking instruction, and identifying the security risk of the cyberspace.

The invention relates to the technical field of intelligent home control, and discloses a control method and a control system of an intelligent sound box. The control method of the intelligent sound box is applied to a control device, and specifically comprises the following steps: S101, collecting a voice instruction of a user, carrying out noise reduction processing and voiceprint feature extraction on the voice instruction, transmitting the processed voice instruction to a semantic analysis engine, carrying out intention recognition on voice content based on a deep learning model, and sending the intention recognition result to a semantic analysis engine; generating a structured operation instruction set; and S102, according to the device identifier contained in the structured operation instruction set. Through dual authentication of voiceprint feature extraction and dynamic verification phrase, the illegal access false recognition rate is reduced to below 0.12%, the voiceprint database is combined with the Mel frequency cepstrum coefficient and the dynamic time warping algorithm, accurate matching of user identities is achieved, the dynamically generated verification phrase comprises random initial and final combinations, and recording playback attacks are effectively resisted.

An apparatus and system for privacy protection for Ambient Internet-of-Things (A-IoT) devices are disclosed. A-IoT devices transmit obfuscated identifiers (OIDs) instead of actual identifiers, which are de-obfuscated by the network to retrieve the original identifiers. The device identifiers are obfuscated using shared secret parameters and periodically updated configurations. Hash-based lightweight privacy mechanisms, temporary identifiers (TempIDs), and pseudonym generation may be used to ensure secure communication and prevent replay attacks.

The invention belongs to the technical field of communication, and particularly relates to an NFC (Near Field Communication) encrypted IMS (IP Multimedia Subsystem) server security data exchange method, which comprises the following steps of: in response to a near field communication connection event, acquiring an original service data message of service equipment to be opened and physical environment data monitored when the event occurs, forming a seed data set, executing Hash operation to generate an initial data fingerprint, and sending the initial data fingerprint to a server; and generating a symmetric session key through a key derivation algorithm by combining a device identifier in the original service data message, so as to encrypt the original service data message, packaging an encrypted data packet and the initial data fingerprint into a transmission data packet, sending the transmission data packet to an IMS server, reconstructing the session key by the server based on expected service parameters stored locally, and sending the session key to the IMS server. According to the method, decryption verification of the encrypted data packet is carried out, and service opening is executed after the verification is passed, so that deep binding of an encryption process and data integrity verification is realized, and the security of data exchange and the system processing efficiency are improved.

The invention belongs to the technical field of information interaction, and relates to a device information interaction method, a slave device gateway and a master device. An active frame transmission mechanism is realized through the slave device gateway, so that the slave device actively reports information to the master device when the state changes or the trigger condition is met, and the master device can analyze and issue a configuration instruction in real time to complete dynamic management of the slave device. The method supports centralized monitoring and configuration of slave devices in the parallel operation energy storage system, ensures the consistency of device identifiers, addresses, groups and states, realizes real-time, accurate and extensible management, does not interfere with the original Modbus master-slave communication process, and effectively solves the problems of poor expansibility, state update lagging, communication conflict risk and the like in the traditional one-master one-slave mode.

The invention discloses a power and environment data monitoring method based on NB-IOT communication, and belongs to the technical field of Internet of Things equipment monitoring. The method comprises the following steps: deploying and integrating multiple types of sensors and an NB-IOT module at a monitoring terminal; establishing a connection between the terminal and the management system through NB-IOT, and distributing a unique device identifier and a platform access address; the terminal receives the SFN signal of the base station, converts the SFN signal into a UTC timestamp, collects moving ring data, adds the timestamp and transmits the moving ring data to the platform; the platform aligns the multi-source data with a timestamp, and establishes space-time association in combination with equipment space coordinates; and monitoring the equipment state based on the spatio-temporal data sequence, triggering an offline / online alarm event through a double-threshold strategy, and pushing the event to a management terminal. According to the method, the problems of multi-source data space-time misalignment and high equipment state misjudgment rate in existing dynamic environment monitoring are solved, and the fault positioning precision and the operation and maintenance response efficiency are remarkably improved by adopting a base station time service synchronization and space-time fusion analysis technology.

The invention discloses a time sequence database architecture, a data writing method and electronic equipment, and the time sequence database architecture comprises a distributed storage module which enables data of the same equipment to be continuously distributed in a physical storage layer based on an equipment dimension fragmentation strategy; the independent index layer is decoupled from the data storage module and maintains a mapping relationship between the equipment identifier and the corresponding physical fragment through a metadata structure; the migration module is used for performing rolling updating on the hot data layer; and the query engine module is used for positioning the target physical fragment according to the equipment identifier and executing predicate push-down calculation on the compressed data. The data writing method comprises the following steps: receiving a data writing request, and analyzing a device identifier in the request; positioning a target physical fragment according to the equipment identifier in cooperation with a Hash algorithm; and adding the data to the column type storage file in the corresponding physical fragment according to a timestamp sequence, and synchronously updating the metadata mapping relationship of the independent index layer. According to the method, the data query performance and query efficiency can be improved, and the data storage cost is reduced.

The invention relates to an embedded safety management method based on digital RMB industrial control equipment, and belongs to the technical field of industrial control system safety. The method comprises the following steps: during first deployment, carrying out information binding on an asymmetric key pair of the industrial control equipment and an equipment identity identifier to generate an equipment digital certificate; the digital signature is verified step by step from a private key of the asymmetric key pair during power-on starting through a safe starting process; when communication is established, performing digital signature on a communication key by calling a signature function of the hardware security module based on a challenge-response mechanism; when a digital RMB transaction is carried out, the trusted execution environment and the digital RMB hardware wallet module carry out secure interaction, and a transaction instruction is analyzed; during the operation period of the equipment, key data streams are continuously collected and analyzed by deploying an exception monitoring module. Reading, querying and related business transactions of the digital RMB on the industrial control equipment are achieved, and it is ensured that the identity is not forged and the instruction is not tampered.

The invention provides a PCIe device function failure positioning method and system and a server, and relates to the technical field of computer hardware resource management. The method comprises the following steps: a firmware layer constructs a mapping relation between a physical location identifier and a logic device identifier based on a hardware connection topology, and pre-stores the mapping relation to a substrate management controller; in an equipment initialization stage, logic equipment identification information of current equipment is transmitted to a substrate management controller in real time; the baseboard management controller inquires the mapping relation according to the received logic device identifier, and determines a corresponding physical position identifier; and outputting the physical position information corresponding to the logic equipment identifier which is finally processed through a preset interface of the substrate management controller so as to indicate the physical position of the failed equipment. According to the method, the dynamic association of the physical position and the logic information is realized in an equipment initialization stage, and the problem of a physical position blind area caused by no response of equipment is solved.

The invention discloses an intelligent construction site hardware equipment data collection operation and maintenance method, system, equipment and medium, and relates to the technical field of edge computing, Internet of Things communication and computing resource load balancing, and the method comprises the steps: collecting multi-type intelligent hardware equipment data in an engineering site, constructing an edge gateway structure, carrying out the classification arrangement of a soft gateway and a hard gateway, and carrying out the operation and maintenance of the equipment. Establishing a mapping relationship between the device identifier and the gateway node; a plug-in type protocol analysis service is deployed, a corresponding plug-in is matched according to protocol features of the access data, and standardized mapping processing of an original field is carried out according to a physical model preset field template; dividing multiple types of intelligent hardware equipment in an engineering field into a buffer area according to states, and triggering a packaging and uploading process according to the number of data and a time threshold value; according to the intelligent construction site hardware equipment data acquisition operation and maintenance method provided by the invention, a scheme of flexible access and unified management of multiple types of equipment is realized by constructing a software-hardware combined edge gateway structure.

The invention relates to the technical field of block chain and smart home data management, discloses a smart home data contribution quantification and excitation method and system based on a block chain identifier, and aims to solve the data source problem of vertical large model training in the smart home industry and guarantee data security and personal privacy. The method comprises the steps of equipment identifier registration and binding, home local data processing and desensitization, data contribution degree quantitative evaluation, intelligent contract incentive execution and standardized data delivery and evidence storage. The system comprises a block chain identifier management module, a home edge data center, a data contribution quantitative evaluation module, an intelligent contract incentive engine and a large model training data delivery interface. According to the technical scheme, accurate tracing of data sources and clear definition of contribution subjects can be achieved, the family computing power is activated, the risk of data privacy disclosure is reduced, high-quality and scenarized credible data sources are provided, and marketization circulation and value conversion of smart home data elements are promoted.

Aspects of the subject disclosure may include, for example, including, in user equipment (UE) capability information, at least a portion of a device identifier of a UE, and causing the UE capability information to be transmitted in resource control messaging. Other embodiments are disclosed.

The invention discloses a data scheduling and control method based on mainboard memory straight-through, and relates to the technical field of computer hardware, the method comprises the following steps: pre-allocating a straight-through memory area for mounting equipment in a firmware initialization stage, establishing a mapping relation between equipment identification and a physical address of an exclusive memory segment, and through address translation and access control rules of a firmware layer, the device bypasses a system cache level and accesses the exclusive memory segment in a direct memory access mode. Constructing a firmware scheduling table based on the mapping relation to manage access requests of all devices, monitoring transmission delay in real time, and dynamically adjusting priority weight and bandwidth allocation in the scheduling table according to a monitoring result; and sequencing the requests according to the updated scheduling table to complete scheduling and control of the memory access behavior of the equipment. According to the method and the device, the delay bottleneck caused by multi-level copying and firmware scheduling lag in mainboard data forwarding is effectively solved.

A first wireless relay device receives, from a wireless device, a message, indicating an address of the wireless device for multihop relaying, wherein the wireless device connects to a second wireless relay device via the first wireless relay device and using the multihop relaying, and a device identifier of the wireless device. The first wireless relay device sends to the second wireless relay device and based on the receiving, one or more parameters comprising the address and the device identifier.

Embodiments of the disclosure provide distributed authentication with network segmentation and dynamic authorization for networks. The system may include a device within a network of devices. An identifier is within the device and includes a cryptographic certificate. The device is configured to transmit the identifier to an authenticator as a security proof. The authenticator is configured to disable the device from performing at least one operation within the network before verifying an identity of the device via the identifier.

The invention provides an intelligent operation and maintenance processing method and system for a thermoelectric unit, and the method comprises the steps: obtaining a real-time operation data set of the thermoelectric unit, constructing an equipment association graph to display the operation association relation between equipment, calling a pre-trained graph neural network model to carry out the feature learning of the equipment association graph, and carrying out the feature learning of the equipment association graph; the method comprises the following steps: generating global association features reflecting interactive influence among equipment states, identifying an equipment abnormal state based on the global association features, generating an identification result containing an abnormal equipment identifier and type, generating an operation and maintenance optimization strategy according to the identification result, and feeding back the operation and maintenance optimization strategy to a thermoelectric unit operation and maintenance management system to trigger maintenance operation. Therefore, intelligence and automation of operation and maintenance management of the thermoelectric unit are realized, the operation and maintenance efficiency and accuracy are improved, and the operation and maintenance cost is reduced.

A method is disclosed and includes receiving, by a record server computer from a first processing network computer, a token, a device identifier associated with a user device, a session identifier associated with a registration request, and metadata about the token, and then receiving a metadata request from a second processing network computer in response to the second processing network computer receiving an authorization request message comprising the token, and the device identifier and / or the session identifier. The metadata request comprises at least the device identifier and / or the session identifier. The method also includes retrieving, by the record server computer, metadata associated with the metadata request, and providing the metadata to the second processing network computer. The second processing network computer processes the authorization request message using the token and the metadata.

The invention relates to an application user tracking detection method and device based on a dynamic and static combination technology, and the method comprises the steps: obtaining a first interprocess control flow diagram associated with a device identifier according to an application package of a target application and a configuration file containing a predefined device identifier; according to a program behavior of a target application in a running state, determining a function associated with an application programming interface of the equipment identifier and an application programming interface of network data transmission, and obtaining a second interprocess control flow diagram of data leakage according to the function; integrating the first interprocess control flow diagram and the second interprocess control flow diagram to obtain a third interprocess control flow diagram; and obtaining a leakage path of the target application to the user data according to the third interprocess control flow diagram. By adopting the method, the problems of narrow detection coverage and low detection accuracy in the aspect of tracking the user by using the device identifier through the APP can be solved.

The invention relates to the technical field of unmanned aerial vehicle control and management, in particular to an unmanned aerial vehicle parameter consistency configuration method based on template management, which adopts a structured parameter configuration template in a JSON format, comprises four blocks of metadata, parameter definition, constraint rules and digital signatures, establishes an MAVLink communication link with an unmanned aerial vehicle flight controller through a template management terminal, and provides an unmanned aerial vehicle parameter consistency configuration method. And executing an automatic configuration process based on a finite-state machine, and ensuring parameter logic consistency by using a difference comparison and constraint verification mechanism. According to the method, temporary storage, batch writing and atomic submission of parameter changes are achieved through the atomization transaction submission protocol, the integrity of the configuration process is guaranteed, the digital signature auditing log containing the timestamp, the device identifier, the template hash and the change details is generated after configuration is completed, whole-process tracing is supported, and the method is high in practicability and easy to popularize. Headless mode operation, parameter white list control and hardware abstraction layer adaptation are supported, and high automation, standardization and safety of unmanned aerial vehicle parameter configuration can be achieved.

The invention discloses a multi-protocol dynamic adaptation and session management method based on TCP / IP (Transmission Control Protocol / Internet Protocol), and belongs to the technical field of computer network communication. Comprising the following steps: S1, receiving TCP / IP connection from a client, and identifying a specific application layer protocol type through a protocol feature code; s2, dynamically loading an adapter of a corresponding protocol based on the protocol type identified in the S1, decoding original data into a unified intermediate format, and realizing protocol-independent data processing; s3, on the basis of decoding in the S2, different protocols are connected and bound to the same session object based on the device identifier, and cross-protocol sharing of the authentication state and the context is achieved; and S4, monitoring a network quality index based on the session binding in the S3, and dynamically allocating a high-priority service to the optimal protocol channel. According to the method, the problems of poor multi-protocol compatibility, isolated session management, unreasonable network resource allocation and the like are solved, and the flexibility, the reliability and the resource utilization rate of the system are remarkably improved.

The invention relates to the technical field of network communication, in particular to a network resource entry method and system based on a topology self-discovery technology, and the method comprises the following steps: a detection source device generates a detection data packet containing a device identifier, a TTL value and an accessed device list, and sends the detection data packet to an adjacent device hop by hop; after the intermediate equipment receives the probe packet, if the intermediate equipment does not exist in the accessed list, adding equipment information and a connection relationship and continuing forwarding until the TTL value is exhausted or no available port exists; the method has the beneficial effects that hop-by-hop collection of network equipment information is realized by designing an intelligent detection data packet, a dynamic network topology is constructed in combination with a graph theory algorithm, deep resource attributes are extracted by utilizing a machine learning technology, and finally automatic input and real-time updating of network resources are realized. According to the method, through detection-construction-extraction-entry-visualization five-dimensional architecture, the problems of low efficiency and poor real-time performance of traditional manual entry are solved.

Systems and methods for determining uniqueness of device identifiers are provided. The uniqueness of a device identifier may be indicated by a device quality score or grade that is calculated based on a plurality of parameters associated with a device identifier as well as evaluation rules derived based on historical data. The plurality of parameters may be associated with a network event or transaction associated with the device identifier. The evaluation rules may be derived using machine learning techniques. Based on uniqueness of a device identifier, a suitable action or measure may be taken.

The invention provides a traffic signal lamp data quality detection method, a traffic signal lamp data quality correction method and related equipment, and the method comprises the steps: receiving traffic signal lamp data reported by traffic signal lamp equipment in real time based on a distributed stream processing architecture, carrying out the structural processing, and extracting equipment identification, timestamp, signal state, phase information and other fields; in a distributed stream processing architecture, anomaly detection tasks of multiple dimensions of data timeliness, signal logic consistency and equipment online state are executed in parallel, data quality marks including anomaly types and corresponding anomaly parameter values are generated, and traffic signal lamp data with quality labels are formed. And for the detected abnormal data, executing corresponding data correction strategies according to different abnormal types, and issuing the corrected traffic signal lamp data to a downstream service module for use. According to the invention, high-concurrency and low-delay data processing is realized in a scene of dense deployment of multi-source traffic signal lamp equipment, and the real-time performance and accuracy of the traffic signal lamp data are improved.

Apparatuses and methods for proximity determination of a device by a reader. A method includes determining parameters related to transmission of a physical reader-to-device channel (PRDCH), determining parameters related to transmission of a physical device-to-reader channel (PDRCH) by the target device and transmitting the PRDCH. The PRDCH includes at least one of information related to the target device providing a device identifier corresponding to the target device, a device-group identifier corresponding to a group of target devices including the target device, or no identifier corresponding to all devices receiving the PRDCH, and the parameters related to the PDRCH transmission. The method further includes receiving the PDRCH from the target device or, from a second reader, a proximity determination report associated with the target device and determining the proximity of the target device based on reception of the PDRCH or reception of the proximity determination report.

A device may include a processor, a receiver, and a transmitter. The receiver may be configured to receive a content signal. The transmitter may be configured to transmit the content signal. The transmitter may be configured to transmit an associated inaudible signal. The content signal, the associated inaudible signal, or both, may be transmitted to one or more electronic devices. Each of the one or more electronic devices may be configured with audio interfaces. The receiver may be configured to receive a respective message from each of the one or more electronic devices. Each respective message may be based on the associated inaudible signal. Each respective message may include a respective electronic device identifier. The transmitter may be configured to transmit one of the respective messages.

The invention discloses a fitness equipment reservation method and system based on differential intelligent scheduling, and the method allows a user to submit an equipment identifier or an equipment identifier list, including a training plan of one or more times of training in a future period of time and a preliminary reservation time period; and after the server receives the reservation request, differentiated scheduling is executed according to the fact that the reservation time period is a golden time period or a non-golden time period, equipment slot positions are intelligently distributed to a batch of reservation requests in the golden time period in a timing or quantitative mode, and the user satisfaction degree is considered in the distribution process. The fitness waiting time of the user can be shortened, and the user satisfaction and the equipment utilization rate are improved; according to the intelligent scheduling algorithm provided by the invention, user requests are regarded as a whole, the algorithm efficiency is improved, and intelligent scheduling distribution of multiple users and multiple devices is realized.

The invention relates to the technical field of railway four-power operation and maintenance, provides a railway four-power operation and maintenance knowledge intelligent question-answering method and system based on a large language model, and solves the problems of low logic accuracy and poor field applicability of an operation and maintenance question-answering result. The method comprises the following steps: acquiring a question and answer request containing a device identifier, position data and a question text; performing syntactic analysis on the problem text to obtain a target equipment entity and an operation intention, positioning graph nodes in the railway four-electric interlocking relation knowledge graph according to the equipment identifier, performing graph traversal, obtaining associated equipment entities, an electrical connection relation and interlocking logic information, and combining the associated equipment entities, the electrical connection relation and the interlocking logic information into a regulation constraint condition set; performing vector retrieval based on the equipment identifier and the position data to obtain an operation and maintenance knowledge fragment; and inputting the regulation constraint condition set and the operation and maintenance knowledge fragment into the large language model, and carrying out logic constraint on the generation process according to the regulation constraint condition set to generate an intelligent question and answer result text. The logic accuracy and field applicability of the operation and maintenance question and answer result are improved.

The invention belongs to the technical field of industrial communication, and discloses a Modbus-RTU-based multi-device cooperation method, device, equipment and medium, and the method comprises the steps: uniformly configuring the initial addresses of a plurality of slave devices as the end edge value of the Modbus-RTU address range; the host device issues public information to the plurality of slave devices through the broadcast address; when any slave device detects a trigger event, switching the slave address to a preset report address, and generating request data containing a device identifier; the upper computer receives and processes the request data from the preset report address, and sends a reset instruction to the slave address after processing is completed; and the slave equipment executes overtime standby, screen locking triggering and unlocking interaction operation according to the received overtime parameters and the security credentials, so that multi-equipment cooperation is realized. According to the method, the communication process is optimized through a dynamic address management mechanism, so that the defects of traditional manual configuration are avoided, and the deployment flexibility of an industrial communication system is improved.

The invention discloses an Internet of Things IP address state real-time detection method based on AI, particularly relates to the technical field of industrial network operation and maintenance, and is used for solving the problems of equipment health state monitoring distortion and insufficient pre-diagnosis capability caused by frequent switching between a dynamic communication environment and a network topology in the prior art. The method comprises the following steps: extracting high-dimensional time series data based on equipment identifiers, dynamic transmission path fingerprints and protocol features, and generating a multi-dimensional feature vector representing an equipment health co-evolution rule through adaptive feature selection; generating an interaction feature graph by combining probability evaluation of a Gaussian mixture model and a hidden Markov model, and describing relevance between communication behaviors and health risks between the devices; utilizing a dynamic graph neural network to model linkage change of equipment behaviors and network topology in real time, and outputting a health state dynamic evolution path; and finally, optimizing a maintenance strategy weight through reinforcement learning, and triggering a hierarchical maintenance action. And the accuracy and the real-time response capability of predictive maintenance in an industrial Internet of Things scene are remarkably improved.