1040 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.

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 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 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.

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.

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.

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.

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.

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 relates to the technical field of servers, in particular to a matching management method and device for device identifiers, and the method comprises the steps: constructing a target dynamic mapping table, and obtaining a target access peripheral device based on a media access control address of the target access peripheral device and topological information of a peripheral component interconnection bus; registering a context association relationship corresponding to the target access peripheral equipment in the target dynamic mapping table, and acquiring an actual equipment identifier of the target access peripheral equipment after the target access peripheral equipment is initialized; and determining a mapping relationship between the temporary device identifier and the actual device identifier according to the attribute information, and updating a context association relationship corresponding to the target access peripheral device by using the mapping relationship. Therefore, the problems of EID mapping failure, poor compatibility and high maintenance cost caused by equipment replacement or restart in a traditional BMC static management mode are solved, and the automation degree, reliability and cross-manufacturer compatibility of peripheral equipment management are remarkably improved through dynamic sensing and an intelligent mapping mechanism.

The invention relates to the technical field of Internet of Things communication, and provides a dynamic message theme adaptation method, system and device and a storage medium, which are applied to a control center, and the method comprises the following steps: receiving a message proxy request sent by an Internet of Things device; the message proxy request carries a message theme identifier bound with an equipment interaction function; responding to the message proxy request, matching a corresponding message theme rule from a preset specification library, and obtaining a target message proxy address; generating a message theme name containing the device identifier based on the message theme rule; establishing a key value pair of the message theme identifier and the message theme name, and generating a message theme mapping list containing the key value pair; and packaging the message theme mapping list and the target message proxy address to obtain control center data, and issuing the control center data to the Internet of Things equipment. The method and the device can adapt to message agents of other specifications, and meet the requirements of multi-manufacturer message agents and multi-scene access.

Systems, methods, and apparatus may be provided for identifying a device or user behind a resential gateway. For example, a wireless transmit / receive unit (WTRU) may perform a method that may comprise a number of operations. A Protocol Data Unit (PDU) session to a network node may be established. A first message may be received from a device. The first message may indicate a Dynamic Host Configuration protocol (DHCP) request. A device identifier associated with the DHCP request may be determined based on configuration information and a characteristic of the DHCP request. A second message may be generated. The second message may indicates the DHCP request and a remote identification (ID) option value. The remote ID option value may be set to the device identifier. The second message may be sent to the first network node using the first PDU session.

A permission reuse method includes receiving, by a second device, control information from a first device, wherein the control information comprises a first device identifier of the first device, user equipment of a plurality of applications, and permission information of the plurality of applications, and wherein permission information of an application is used to indicate an object in the first device that the application has permission to access, and the object in the first device comprises a software or hardware resource in the first device; creating, by the second device, a virtual identity of the first device based on the control information, wherein the virtual identity comprises the first device identifier and the user identifiers; and storing, by the second device, the virtual identity, the permission information of the plurality of applications, and a correspondence between the virtual identity and the permission information of the plurality of applications.

Provided are a loop detection method, apparatus and system, which relate to the technical field of communications. The method is applied to an EasyMesh network, and comprises: a network device sending loop detection information by means of a first port, wherein the loop detection information comprises a loop detection identifier, and at least one of a source device identifier, which is used for indicating an initiating device of the loop detection information, and a source port identifier; and when a message, which is received by the network device by means of a second port, comprises the loop detection information, determining that the present device forms a loop in the EasyMesh network. In this way, compared with an STP-based loop detection method, which involves steps such as changing a specified port on the basis of a topology structure of a network and performing reconvergence after a topology change, the present loop detection method has simpler steps for sending, receiving and detecting loop detection information, thereby improving the loop detection efficiency.

The invention belongs to the technical field of the Internet of Things and energy management, and particularly relates to an energy consumption data collector based on the Internet of Things and a collection method, the collector comprises a data processing module, a network state evaluation module, a data value evaluation module and a communication and control module, real-time protocol analysis and data conversion are carried out on original data, and the energy consumption data is obtained. Generating a standard energy consumption data packet with a unified timestamp and a device identifier, storing the standard energy consumption data packet according to a receiving sequence, and eliminating a time reference deviation caused by an instrument clock difference; communication signal strength and round-trip time with a remote Internet of Things platform are collected in real time, through multiple times of detection and normalization processing, a maximum value is selected as a network state factor, a dynamic change reference and a self-adaptive fluctuation interval are calculated based on a historical power data sequence, an instantaneous deviation rate and a continuous deviation duration are determined, and the network state factor is determined. A data value factor is generated through processing, and the network state factor and the data value factor are matched with a preset period adjustment mode to realize collaborative optimization.

The invention relates to the technical field of agricultural product traceability, in particular to an agricultural product traceability method and system based on the Internet of Things technology, and the method comprises the steps: obtaining a traceability full-link node of an agricultural product; agricultural product traceability data of each node is collected; performing first encryption processing on the collected agricultural product traceability data to generate encrypted traceability data; uploading the encrypted traceability data to a block chain network for evidence storage, and generating a block chain evidence storage hash value; acquiring an equipment identifier of the Internet of Things acquisition equipment corresponding to each node; generating an agricultural product unique traceability identifier based on the block chain evidence storage hash value and the equipment identifier; receiving a traceability query request of a user; calling corresponding encrypted traceability data from the block chain network based on the unique traceability identifier of the agricultural product; and decrypting the called encrypted traceability data, and obtaining decrypted agricultural product traceability data. According to the invention, the credibility and authenticity of agricultural product traceability information can be improved.

The invention discloses a test incentive generation method and device, equipment, a storage medium and a product, and belongs to the technical field of artificial intelligence chips, the method comprises the steps that a test case is acquired, the test case comprises multiple pairs of equipment identifiers, and each pair of equipment identifiers comprises an equipment identifier of one piece of master equipment and an equipment identifier of one piece of slave equipment; selecting a first excitation constraint set matched with the master device from the master device constraint set according to the device identifier of the master device in each pair of device identifiers, and selecting a second excitation constraint set matched with the slave device from the slave device constraint set according to the device identifier of the slave device in each pair of device identifiers; and according to the first excitation constraint set and the second excitation constraint set corresponding to each pair of device identifiers, generating a test excitation, the test excitation being used for testing a communication path from one master device to one slave device. According to the invention, a single test case can test a plurality of communication paths, and the number of the test cases is obviously reduced.

Systems and methods may generally be used to authenticate user credentials. An example method may include using a personal identifier and a stored base derivation key to generate an initial key value, generating a current key value using an initial key value and a counter, determining a decryption key from the current key value and decrypting an encrypted secret value using the decryption key to identify a password. The method may include generating a password check value using the current key value and the device identifier, and determining whether to authenticate the user device based on whether the password check value indicates that the password is valid.

The invention discloses an exit selection method and system for multi-door lock selection, and the method comprises the steps: obtaining a device identifier, a router ID and a transaction ID of a target door lock according to a service request sent by a user APP to an anycast address; according to a device identifier carried in a control connection request initiated by a user APP, a receiving door lock carries out identifier comparison, and if matching fails, an intelligent forwarding mechanism based on a router ID and a transaction ID is triggered; according to an intelligent forwarding mechanism, an error receiving door lock forwards the request message to a specified router, and correct delivery of the request message is realized; and according to a specific path flag bit in a confirmation message returned by the correct door lock, the user APP and the router along the way record the binding relation between the transaction ID and the path, and it is ensured that a subsequent control instruction is transmitted along the binding path. By utilizing the embodiment of the invention, the control instruction can be quickly, stably and reliably transmitted from the user to the target door lock, and the response efficiency and the control success rate of the system are improved.

A system comprises a source communication device, a test device, and a receive communication device. The source communication device is configured to receive a device identifier (ID) of the test device; send a communication message request to the test device; receive a communication log comprising a pair identifier based on the communication message; send a testing instruction to the test device; receive a second communication log from the receive communication device; and correlate the device ID with the second device ID to obtain the wireless network parameters for the test device. The test device is configured to receive the communication message request; send a communication message responsive to receiving the communication message request to the receive communication device. The receive communication device is configured to create a communication log corresponding to the communication message; and send the communication log and the second communication log to the source communication device.

The invention relates to the technical field of Internet of Things security detection, and discloses a network security detection system and method based on Internet of Things terminal equipment. The method comprises the following steps: capturing a terminal network communication data flow in real time, and extracting an equipment identifier, a communication protocol feature and a transmission content feature; performing credibility verification on the equipment identifier to generate a credible equipment list, establishing a protocol behavior model according to protocol characteristics to identify a protocol layer abnormal event, and identifying a content layer abnormal event through matching of transmission content characteristics and a preset rule; performing time-space correlation analysis on the two types of abnormal events to generate a comprehensive threat event set, and constructing and dynamically adjusting a terminal behavior baseline according to the comprehensive threat event set; the method comprises the following steps: performing deviation detection on a real-time data stream based on a baseline, performing threat tracing on a result to determine a threat source and an attack path, and finally integrating a tracing result and a comprehensive threat event set to generate a terminal security situation report, thereby realizing dynamic detection and management and control on the network security of the Internet of Things terminal.

The embodiment of the invention discloses a BIM-based construction environment monitoring method and device, equipment and a medium. The method comprises the following steps: constructing a BIM environment monitoring model, wherein the BIM environment monitoring model comprises a plurality of virtual monitoring point positions; acquiring real-time monitoring data uploaded by the plurality of intelligent sensor devices; performing space matching on the real-time monitoring data and the virtual monitoring point positions according to the equipment identifiers and the sensor coordinates in the real-time monitoring data and the equipment identifiers and the monitoring point position coordinates of the virtual monitoring point positions, and determining target virtual monitoring point positions corresponding to the real-time monitoring data; for each virtual monitoring point position, risk early warning processing is carried out on the corresponding sensor value through the risk monitoring rule of the target virtual monitoring point position, and risk early warning information of the virtual monitoring point position is obtained; and displaying the BIM environment monitoring model carrying the risk early warning information through a BIM visual platform. According to the embodiment of the invention, visual early warning and monitoring of construction environment risks can be realized.

The invention discloses a differentiation model training method and device, electronic equipment and a storage medium, the method is applied to the technical field of intelligent furniture, and the method comprises the following steps: obtaining respective equipment function information of different equipment, and extracting a function feature corresponding to each piece of equipment function information; according to the similarity between the functional features, clustering processing is carried out on the functional features corresponding to the multiple devices to obtain a first clustering result, and clustering parameters of the general model are optimized according to the first clustering result; and based on the first clustering result, performing classification processing according to the device identifier to obtain a second clustering result, and optimizing the clustering parameters of the general model according to the second clustering result to obtain a differentiation model. According to the method, the differentiated model can be constructed according to the actual function points of the equipment, the characteristics and functions of the equipment are described more accurately, the matching degree of the object model and the equipment is improved, and then the differentiated model training efficiency is improved.

A device may include a processor configured to receive an access request to access a core network from a Wireless Local Area Network (WLAN) access device. The processor may be further configured to register with the core network as a User Equipment (UE) device using a UE device identifier associated with the WLAN access device, based on receiving the request to access the core network from the WLAN access device; establish a Protocol Data Unit (PDU) session with the core network as a UE device using the UE device identifier associated with the WLAN access device; and proxy data traffic between the WLAN access device and core network using the established PDU session.

The invention discloses an authentication link double-token refreshing method and system, and relates to the field of computer network security. The method comprises the following steps: in a token refreshing process, a client sends a refreshing token and an iteration anchor point to a server; the server verifies the continuity of the iteration anchor point and the historical token state; and after verification is passed, token refreshing is executed, and a new iteration anchor point is generated. The iteration anchor point is a failure time identifier of the failure token, and the verification comprises consistency judgment and anti-replay verification. Meanwhile, an authentication link file is established, strong binding of the token and the link is achieved, and a full-life-cycle log is recorded. Triple protection is constructed through an iteration anchor point, a link identifier and an equipment identifier, the problems of authentication link breakage, safety verification looseness and abnormity non-traceability are solved, and non-inductive refreshing, attack interception and full-link traceability are realized.