3331results about "Data switching by path configuration" patented technology

The invention discloses a control method and device of Internet of Things equipment, control equipment and a control system.The method is applied to the control equipment and comprises the steps that intention analysis is conducted on a natural language instruction through a large language model, intention information is generated, and the large language model is deployed on a local server or the control equipment; target Internet of Things equipment in a target area is matched according to the intention information, an equipment control instruction corresponding to the target Internet of Things equipment is generated, the target area comprises multiple pieces of Internet of Things equipment, and the multiple pieces of Internet of Things equipment comprise the target Internet of Things equipment; and sending the equipment control instruction to the target Internet of Things equipment so as to control the target Internet of Things equipment according to the natural language instruction.

The invention discloses an edge node heterogeneous network heterogeneous platform access management method and system, and relates to the technical field of Internet of Things. The method comprises the following steps: a monitoring platform performs reverse decoding on each piece of received access request sequence information mapped by a three-dimensional chaotic dynamic symbol so as to obtain decoded access request sequence information; generating a threat index corresponding to the edge node according to the access request sequence information; generating a sandbox adjustment strategy of the edge node according to the threat index; carrying out different treatments on the edge nodes according to a sandbox adjustment strategy; inputting the feature information of the edge nodes into the identification neural network to obtain identification information; and the monitoring platform judges whether the edge node in the preset sandbox is allowed to access according to the identification information, and if yes, the edge node is accessed. According to the method, the access request is encrypted and transmitted through three-dimensional chaotic dynamic symbol mapping, the data security is remarkably improved, and fine access control is realized in cooperation with a dynamic sandbox strategy.

The present invention discloses an adaptive bandwidth allocation method based on network traffic prediction, which relates to the field of adaptive bandwidth allocation technology, and specifically includes the following steps: obtaining bandwidth demand information of each bandwidth device to be analyzed in real time, analyzing it, evaluating the bandwidth demand of each bandwidth device to be analyzed, and dividing each bandwidth device to be analyzed into high-demand bandwidth devices, medium-demand bandwidth devices and low-demand bandwidth devices according to the evaluation results; according to the division results of each bandwidth device to be analyzed, constructing a bandwidth allocation mechanism, and taking different bandwidth allocation measures for high-demand bandwidth devices, medium-demand bandwidth devices and low-demand bandwidth devices respectively. The present invention solves the problem of uneven bandwidth allocation when multiple devices are running in parallel in a smart home system, accurately identifies high and low demand devices, dynamically optimizes bandwidth allocation, and improves system stability and bandwidth resource utilization efficiency.

The invention provides a kitchen safety monitoring method and system based on a multi-mode AI large model. Belongs to the technical field of kitchen safety monitoring. The method comprises the following steps: collecting multi-modal information in a kitchen in real time through a sensor network installed in the kitchen; carrying out the preprocessing of the collected multi-mode information; carrying out fusion processing on the preprocessed data based on a multi-modal AI large model, and extracting key features in each piece of modal information; and through a deep learning algorithm, information of different modes is associated and matched to form comprehensive understanding of operation behaviors in the kitchen. Through real-time acquisition and analysis of multi-modal information, comprehensive monitoring of operation behaviors, equipment states and environmental factors in a kitchen is realized.

An in-vehicle device is an in-vehicle device connected to an in-vehicle ECU mounted on a vehicle such that communication is available, and includes a control unit performing processing relevant to transmission data transmitted from the in-vehicle ECU, in which the control unit receives transmission data transmitted from the in-vehicle ECU, registers the received transmission data in association with a reception time point of the transmission data in a chronological database, specifies abnormal transmission data from the transmission data registered in the chronological database, and registers information relevant to the specified abnormal transmission data in an abnormality history database.

The invention discloses a smart home early warning method and system based on dual authentication, and relates to the technical field of smart home. Four-element data of an early warning event is collected through an edge computing gateway, the four-element data is coded and packaged into a data packet, and the data packet is transmitted to a cache region of the edge computing gateway for further processing; according to the smart home early warning system based on dual authentication, through an equipment identity dual authentication mechanism, the security of equipment access is doubly guaranteed from a physical layer and a logic layer, intrusion of unknown equipment is effectively prevented, the risk of data leakage is reduced, in the aspect of data storage, an on-chain and off-chain collaborative storage mode is adopted, and the security of equipment access is improved. The authenticity and integrity of event key information are ensured by using the non-tampering characteristic of the block chain on the chain, and the security of original data is protected through distributed storage and encryption under the chain, so that the privacy and security of user data are protected comprehensively, and the security of the data of the smart home system is ensured.

A building system can include one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a first prediction generated using one or more first events enriched with contextual data, identify one or more second events or one or more second predictions associated with the first prediction, enrich the one or more second events or the one or more second predictions with the first prediction, and provide the one or more second events enriched with the first prediction or the one or more second predictions enriched with the first prediction.

One or more computer-readable media (CRM) storing instructions for monitoring quality of-service (QoS) flows in a wireless cellular network are disclosed. The instructions, upon execution by one or more processors, cause the one or more processors to: obtain a signal in the wireless cellular network; determine, based on the signal, a QoS flow event for a session management function (SMF); determine performance measurements related to the QoS flow event; and modify at least one of the QoS flows in the wireless cellular network based on the performance measurements. Example QoS flow events include a request to create or modify a QoS flow, a successfully created or modified Qos flow, a QoS flow that failed to be created or modified, etc.

The embodiment of the invention relates to the field of voice control, and discloses an equipment control method and device, equipment and a storage medium, and the method comprises the steps: determining identity information and a target execution task from obtained control voice information sent by at least two users; performing scene analysis on each target execution task to determine target scene information; analyzing whether task conflicts exist among the target execution tasks or not by utilizing the identity information and the target scene information; when the task conflicts exist, screening the target execution tasks with the task conflicts as conflicting execution tasks, and determining the priority ranking of the conflicting execution tasks; and determining the working state of the corresponding target equipment according to the priority ranking of each conflict execution task. According to the equipment control method disclosed by the invention, the problem that multi-user voice control conflicts and cannot be coordinated is solved, multi-user voice cooperative control can be carried out in combination with the user identity information and the actual scene, and the user experience is improved.

The invention discloses a remote control method for smart home equipment, relates to the technical field of home equipment control, and is used for solving the problems of simple identity authentication, difficulty in cross-protocol control and poor complex scene control effect in the prior art. The method comprises the following steps: initiating a control request at a mobile terminal, synchronously triggering a two-factor verification operation, when verification succeeds, constructing a temporary access secret key, and dynamically distributing equipment control authority, when verification fails, requesting rollback, and automatically matching a corresponding optimal communication protocol from a protocol library according to the type of each piece of target home equipment, so as to achieve the purpose of controlling the home equipment according to the optimal communication protocol. The method comprises the following steps: evaluating network quality after communication interaction, dynamically switching a transmission mode according to an evaluation result, deploying a local computing node and a cloud computing node, respectively carrying out respective equipment remote control in simple and complex scenes, constructing an equipment relation graph to analyze a household equipment dependency relationship, optimizing a control execution sequence, and monitoring equipment feedback data. Mandatory intervention management is carried out in case of abnormity, and efficient and accurate equipment control is realized.

This vehicle-mounted device is communicably connected to a plurality of vehicle-mounted ECUs that are mounted in a vehicle, and is provided with a control unit for performing processing related to reliability data transmitted from each of the plurality of vehicle-mounted ECUs, wherein: the reliability data transmitted from the vehicle-mounted ECUs includes an evaluation result of the correctness of other vehicle-mounted ECUs other than the vehicle-mounted ECU that is the transmission source; and the control unit receives the reliability data transmitted from each of the plurality of vehicle-mounted ECUs, and identifies an abnormal vehicle-mounted ECU among the plurality of vehicle-mounted ECUs on the basis of the received reliability data.

A smart home network load balancing method based on flow prediction and a genetic algorithm improves a traditional load balancing method, and combines a deep learning technology and the genetic algorithm to optimize load distribution. The delay problem of the network flow is effectively solved; according to the method, a strategy can be provided in time by adopting a load balancing method based on flow prediction, and relatively high calculation overhead cannot be generated. The prediction model is combined with a gating cycle unit (GRU) and a self-attention mechanism, so that accurate flow prediction is realized, and the effectiveness of a path optimization process is improved; according to the method, deep learning is combined with a heuristic algorithm and a k-shortest path algorithm, and a new method for obtaining an initial genome is provided, so that the genetic algorithm has a better initial gene. According to the method, iteration is better, more possible and faster at the next moment to obtain the globally optimal solution, and meanwhile, the calculation complexity is reduced. And efficient and effective load balancing of the smart home network is ensured.

A system and method for the secure presentation of multi-window displays on one or more screens within an environment is disclosed. The invention enables the creation and management of primary and secondary data windows on a single display device or across multiple display devices. Through a multi-layer authentication process, including pattern recognition and permission-level verification, authenticated users may transmit computer-readable signals for augmenting the casting of a primary media window with one or more contextually aware secondary windows. These secondary windows are capable of securely recognizing and responding to the content and context of other displayed windows, enabling interaction among windows to customize the user's multi-window display experience. This system provides a secure and personalized means of presenting a plurality of information sets within the environment.

Techniques are described for communications in an L2 virtual network. In an example, the L2 virtual network includes a plurality of L2 compute instances hosted on a set of host machines and a plurality of L2 virtual network interfaces and L2 virtual switches hosted on a set of network virtualization devices. An L2 virtual network interface emulates an L2 port of the L2 virtual network. Access control list (ACL) information applicable to the L2 port is sent to a network virtualization device that hosts the L2 virtual network interface.

A system includes control circuitry configured to manage faults of an electrical system. The system is configured to monitor consumption for a plurality of electrical circuits, such as branch circuits, and generate device information about a device based on an electrical current measurement from at least one electrical circuit of the plurality of electrical circuits to which the device is coupled. The system is also configured to determining that an event has occurred based on the device information and interrupt current of the at least one electrical circuit, generate a notification, communicate a control signal to the device in response to the event occurring to mitigate the event, actuate a second device in response to the event, or a combination thereof.

An electronic device, with a display, a touch-sensitive surface, one or more processors and memory, displays a first representation of a first controllable external device, where the first controllable external device is situated at a location. The device detects a first user input corresponding to a selection of the first representation of the first controllable external device. The device, after detecting the first user input, adds data identifying the first controllable external device and a first state of the first controllable external device in a scene profile.

The invention relates to a PCDN equipment detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring terminal information data; according to a preset analysis threshold value, the historical query data and the terminal information data, carrying out equipment confirmation on the to-be-identified equipment to obtain an equipment confirmation result; when the device confirmation result is that the to-be-identified device is confirmed to belong to the PCDN device, updating a feature library of the management platform based on the terminal information data to obtain an updated feature library, and generating an isolation blocking instruction; and transmitting the isolation blocking instruction and the updated feature library to the gateway terminal. By adopting the method, the security and management capability of the home network can be effectively improved, the PCDN equipment is accurately detected by collecting and analyzing the equipment flow information through the local plug-in and combining the characteristics and the cloud secondary identification, the false alarm and the missing alarm are reduced, the damage of malicious equipment to the home network is prevented, suspicious equipment is isolated or blocked in real time, and the safety of the home network is improved. And timely updating of the feature library is ensured.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and / or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

An electronic device, with a display, a touch-sensitive surface, one or more processors and memory, displays a first representation of a first controllable external device, where the first controllable external device is situated at a location. The device detects a first user input corresponding to a selection of the first representation of the first controllable external device. The device, after detecting the first user input, adds data identifying the first controllable external device and a first state of the first controllable external device in a scene profile.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and / or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

A real-time location system comprises sensors and an upstream device communicating with the sensors. Sensor pairs of the sensors include a transmitting sensor and a receiving sensor. Each sensor is assigned as the transmitting sensor in turn, while all other sensors are designated as the receiving sensors and collect signal strength data. The upstream device determines a labelled dataset based on the signal strength data for the sensor pairs and zone labels associated with the signal strength data. The RTLS ML model is trained based on the labelled dataset.

The invention relates to the technical field of Internet of Things, in particular to an Internet of Things intelligent linkage control method and an Internet of Things intelligent linkage control device, and the method comprises the steps: S1, obtaining the working state of home equipment and the real-time data of environment information, and transmitting the real-time data to a central control platform; s2, preprocessing the real-time data to obtain preprocessed data; s3, analyzing the preprocessed data, and generating a corresponding linkage control instruction; s4, encoding the linkage control instruction to generate encoded data, and performing lossless compression on the encoded data by adopting a ZSTD compression algorithm to obtain a compressed code; s5, searching an optimal sending communication network by adopting a flora optimization algorithm, and sending the compressed code to the home equipment; and S6, the home equipment decompresses the compressed code by using an LZMA compression algorithm, and executes the linkage control instruction. According to the invention, the ZSTD compression algorithm and the flora optimization algorithm are adopted, the delay of data transmission and processing is significantly reduced, the overall response speed of the smart home system is improved, and the user experience is better.

The invention relates to the technical field of voice control, in particular to an offline voice control method and device, equipment, a medium and a product, and the method comprises the steps: obtaining target intelligent equipment of an area where a user is located; inputting the target intelligent equipment into a pre-constructed user habit model to obtain a control equipment list; performing off-line identification on a voice control instruction sent by a user, and controlling the control equipment list based on an identification result; offline voice control can be efficiently carried out based on low-power-consumption equipment.

The invention provides a cross-platform fusion access method, system and device of equipment and electronic equipment, the method is applied to the technical field of Internet of Things, and the method comprises the following steps: a mobile terminal performs security authentication on target central control equipment; the mobile terminal sends a structured configuration file including the equipment information of the plurality of smart home equipment, the region division rule, the scene mode and the linkage rule to the target central control equipment; the target central control equipment receives and analyzes the structured configuration file, and updates the corresponding smart home equipment according to an analysis result; the target central control equipment receives a control instruction of the cloud platform, converts the control instruction into an internal protocol instruction and then issues the internal protocol instruction so as to control the corresponding smart home equipment to execute operation; the target central control device synchronizes the state information of the smart home device to the cloud platform; and when an upgrading instruction of the cloud platform is received, issuing an upgrading task to execute an upgrading process. According to the method, the real-time performance of remote control of the smart home equipment and the accuracy of state feedback are guaranteed.

A playback device comprising a first spectrum radio for communication via a first wireless spectrum and a second spectrum radio for communication via a second wireless spectrum operates in a first mode in which the first spectrum radio is enabled and the second spectrum radio is disabled. While operating in the first mode, the playback device receives a command to join a synchrony group with a display device. Based on the command, the playback device begins to operate in a second mode in which the second spectrum radio is enabled. The playback device receives audio content for playback, wherein the audio content corresponds to video content being displayed at a display device. Using the second spectrum radio, the playback device coordinates with the display device for playing back the audio content in synchrony with the video content.

A method for receiving a downlink channel by a terminal in a wireless communication system includes: receiving, from a base station, first information related to a guard band in a first resource region located in one carrier; receiving, from the base station, second information related to multiple resource sets, each of which is identified by the guard band in the first resource region on the basis of the first information; and receiving, from the base station, a downlink channel on a resource indicated by the second information to be available for reception of the downlink channel.

The embodiment of the invention discloses a fault processing method and device for smart home equipment, a storage medium and a smart home gateway, and relates to the field of household appliance control. The working state of the smart home equipment is detected in real time; when the working state of the smart home device is an abnormal state, obtaining a device identifier of the smart home device, and querying latest device field data in a block chain network according to the device identifier; verifying whether the queried equipment field data is tampered or not; and if not, sending the equipment field data to the smart home equipment, and indicating the smart home equipment to recover to a normal state according to the equipment field data. The data integrity and credibility are guaranteed by utilizing the block chain technology, an intelligent equipment recovery mechanism is realized, the reliability, convenience and safety of the intelligent home system are remarkably improved, and better intelligent home experience is provided for users.

The invention discloses a local area network exception handling method and device for home equipment. The method comprises the following steps: acquiring local area network data information of the home equipment; the home equipment local area network data information comprises a plurality of pieces of to-be-processed local area network data information; pre-processing the home equipment local area network data information to obtain first local area network data information; the first local area network data information comprises a plurality of pieces of first processing local area network data information; each piece of first processing local area network data information comprises at least one piece of first target local area network data information distributed in sequence; and carrying out detection analysis processing on the first local area network data information to obtain target anomaly detection result information.

In one embodiment, a smart home modeling system receives objective data from a public data source. The system modifies baseline age information from the objective data based on indications from service and upgrade records, as well as smart home sensor measurements, to generate a corrected age model for the home. The system determines the effective ages of systems in the home in the corrected age model, and then uses the corrected age model to generate a risk model for the home. Based on the generated risk model, maintenance needs and statuses are re-evaluated. The system provides a virtual dashboard to view results from the smart home model. The dashboard displays alerts about particular systems of the home with elevated risk levels. Additionally, the dashboard generates price information based on the corrected age model and the risk model. The dashboard also notifies a user about service interventions for home systems.

The invention relates to the technical field of smart home, and discloses a smart home control method and device for realizing user interaction based on a smart mirror, and the method comprises the steps: confirming a plurality of user registration instructions, obtaining a registration voice stream based on the user registration instructions, carrying out the feature extraction of the registration voice stream, obtaining reference voiceprint features, summarizing the reference voiceprint features, and carrying out the collection of the reference voiceprint features. The method comprises the following steps: obtaining a plurality of reference voiceprint features, confirming to receive a pre-confirmed voice wake-up word, carrying out voice collection based on the voice wake-up word to obtain a user voice stream, obtaining a voiceprint label by using the user voice stream and the plurality of reference voiceprint features, carrying out voice analysis on the user voice stream to obtain a control instruction, and sending the control instruction to a server. And performing permission verification by using the voiceprint tag and the control instruction to obtain a permission verification result, and obtaining response feedback based on the permission verification result. According to the invention, the problem that the personalized intelligent service cannot be provided because the current user identity cannot be distinguished and the control authority cannot be verified according to the user identity in the smart home interaction scene can be solved.